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United Nations Statistics Division Introduction to environment statistics National Workshop on Environment Statistics and Climate Change Statistics St. George’s, Grenada, 12-14 November 2019

Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

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Page 1: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Introduction to environment statistics

National Workshop on Environment Statistics and Climate Change Statistics

St Georgersquos Grenada 12-14 November 2019

United Nations Statistics Division

Outline

1 Overview of FDES and implementation tools Basic Set Methodology sheets ESSAT Blueprint for action NAP (20 min)

2 Data collection methods (10 min)3 GIS and Earth observation (10 min)4 Compilation of statistics (10 min) 5 Quality control and validation of Environment Statistics (10 min)6 Discussion (30 min)

United Nations Statistics Division

Overview of FDES and implementation tools

United Nations Statistics Division

Overview of FDES and implementation tools

bull The UN Statistical Commission endorsed the revised FDES 2013 at its 44th session in 2013 as the framework for strengthening environment statistics programmes in countries

bull The Statistical Commission also recognized the FDES 2013 as a useful tool in the context of sustainable development goals (SDGs) and the post-2015 development agenda

bull The objective arebull Help international and regional institutions to support strengthening capacity

in countries to develop environment statisticsbull Enhance comparability and availability of environment statistics using a

common frameworkbull Better inform policy making decisions

United Nations Statistics Division

httpsunstatsunorgunsdenvironmentFDESFDES-2015-supporting-toolsFDESpdf

United Nations Statistics Division

bull 6 components

bull At the centre Component 1 Environmental Conditions and Quality

bull All of the components relate to each other

bull Multi-level (component sub-component topic individual statistics)

bull Flexible

bull Adaptable

FDES is structured into 6 components

United Nations Statistics Division

Scope of the FDES

FDES covers biophysical aspects of the environment aspects of the human sub-system that directly influence the state and quality of the environment and the impacts of the changing environment on the human sub-system

It includes interactions within and among the environment human activities and natural events

Description of the FDES

Human Sub-system

Interactions between the environment and the human sub-system

Processes within the environment

Processes within the human sub-system

Environment

United Nations Statistics Division

Main Attributes of the Components of the FDESFDES Component

Description Types of Data

Main Sources and Institutions

Relation to DPSIR and the SEEA

1Environmental Conditions and Quality

Meteorological hydrographical geological geographical biological physical and chemical conditions and characteristics of the environment that determine ecosystems and environmental quality

bull Geospatialbull Physicalbull Qualitative

bull Monitoring and remote sensing data

bull Environmental meteorological hydrological geological and geographical authorities or institutions

bull State and Impact element in DPSIR

bull Experimental ecosystem accounts of the SEEA

2EnvironmentalResources andtheir Use

Quantities of environmentalresources and their changes and statistics on activities related to their use and management

bull Physicalbull Geospatial

bull Statistical surveys administrative records field surveys land registers

bull Sector statistics on production and consumption activities infrastructure

bull Remote sensing databull Statistics databases of respective

national authorities and institutions such as mining energy agriculture water and forest

bull Driving force Pressure and State elements in DPSIR

bull Asset and physical flow accounts of the SEEA-CF

3Residuals

Generation management anddischarge of residuals to airwater and soil

bull Physical bull Administrative recordsbull Estimates based on activity

statistics and technical coefficientsbull Sector statisticsbull Monitoring data

bull Pressure and Response elements in DPSIR

bull Physical flow accounts of the SEEA-CF

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 2: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Outline

1 Overview of FDES and implementation tools Basic Set Methodology sheets ESSAT Blueprint for action NAP (20 min)

2 Data collection methods (10 min)3 GIS and Earth observation (10 min)4 Compilation of statistics (10 min) 5 Quality control and validation of Environment Statistics (10 min)6 Discussion (30 min)

United Nations Statistics Division

Overview of FDES and implementation tools

United Nations Statistics Division

Overview of FDES and implementation tools

bull The UN Statistical Commission endorsed the revised FDES 2013 at its 44th session in 2013 as the framework for strengthening environment statistics programmes in countries

bull The Statistical Commission also recognized the FDES 2013 as a useful tool in the context of sustainable development goals (SDGs) and the post-2015 development agenda

bull The objective arebull Help international and regional institutions to support strengthening capacity

in countries to develop environment statisticsbull Enhance comparability and availability of environment statistics using a

common frameworkbull Better inform policy making decisions

United Nations Statistics Division

httpsunstatsunorgunsdenvironmentFDESFDES-2015-supporting-toolsFDESpdf

United Nations Statistics Division

bull 6 components

bull At the centre Component 1 Environmental Conditions and Quality

bull All of the components relate to each other

bull Multi-level (component sub-component topic individual statistics)

bull Flexible

bull Adaptable

FDES is structured into 6 components

United Nations Statistics Division

Scope of the FDES

FDES covers biophysical aspects of the environment aspects of the human sub-system that directly influence the state and quality of the environment and the impacts of the changing environment on the human sub-system

It includes interactions within and among the environment human activities and natural events

Description of the FDES

Human Sub-system

Interactions between the environment and the human sub-system

Processes within the environment

Processes within the human sub-system

Environment

United Nations Statistics Division

Main Attributes of the Components of the FDESFDES Component

Description Types of Data

Main Sources and Institutions

Relation to DPSIR and the SEEA

1Environmental Conditions and Quality

Meteorological hydrographical geological geographical biological physical and chemical conditions and characteristics of the environment that determine ecosystems and environmental quality

bull Geospatialbull Physicalbull Qualitative

bull Monitoring and remote sensing data

bull Environmental meteorological hydrological geological and geographical authorities or institutions

bull State and Impact element in DPSIR

bull Experimental ecosystem accounts of the SEEA

2EnvironmentalResources andtheir Use

Quantities of environmentalresources and their changes and statistics on activities related to their use and management

bull Physicalbull Geospatial

bull Statistical surveys administrative records field surveys land registers

bull Sector statistics on production and consumption activities infrastructure

bull Remote sensing databull Statistics databases of respective

national authorities and institutions such as mining energy agriculture water and forest

bull Driving force Pressure and State elements in DPSIR

bull Asset and physical flow accounts of the SEEA-CF

3Residuals

Generation management anddischarge of residuals to airwater and soil

bull Physical bull Administrative recordsbull Estimates based on activity

statistics and technical coefficientsbull Sector statisticsbull Monitoring data

bull Pressure and Response elements in DPSIR

bull Physical flow accounts of the SEEA-CF

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 3: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Overview of FDES and implementation tools

United Nations Statistics Division

Overview of FDES and implementation tools

bull The UN Statistical Commission endorsed the revised FDES 2013 at its 44th session in 2013 as the framework for strengthening environment statistics programmes in countries

bull The Statistical Commission also recognized the FDES 2013 as a useful tool in the context of sustainable development goals (SDGs) and the post-2015 development agenda

bull The objective arebull Help international and regional institutions to support strengthening capacity

in countries to develop environment statisticsbull Enhance comparability and availability of environment statistics using a

common frameworkbull Better inform policy making decisions

United Nations Statistics Division

httpsunstatsunorgunsdenvironmentFDESFDES-2015-supporting-toolsFDESpdf

United Nations Statistics Division

bull 6 components

bull At the centre Component 1 Environmental Conditions and Quality

bull All of the components relate to each other

bull Multi-level (component sub-component topic individual statistics)

bull Flexible

bull Adaptable

FDES is structured into 6 components

United Nations Statistics Division

Scope of the FDES

FDES covers biophysical aspects of the environment aspects of the human sub-system that directly influence the state and quality of the environment and the impacts of the changing environment on the human sub-system

It includes interactions within and among the environment human activities and natural events

Description of the FDES

Human Sub-system

Interactions between the environment and the human sub-system

Processes within the environment

Processes within the human sub-system

Environment

United Nations Statistics Division

Main Attributes of the Components of the FDESFDES Component

Description Types of Data

Main Sources and Institutions

Relation to DPSIR and the SEEA

1Environmental Conditions and Quality

Meteorological hydrographical geological geographical biological physical and chemical conditions and characteristics of the environment that determine ecosystems and environmental quality

bull Geospatialbull Physicalbull Qualitative

bull Monitoring and remote sensing data

bull Environmental meteorological hydrological geological and geographical authorities or institutions

bull State and Impact element in DPSIR

bull Experimental ecosystem accounts of the SEEA

2EnvironmentalResources andtheir Use

Quantities of environmentalresources and their changes and statistics on activities related to their use and management

bull Physicalbull Geospatial

bull Statistical surveys administrative records field surveys land registers

bull Sector statistics on production and consumption activities infrastructure

bull Remote sensing databull Statistics databases of respective

national authorities and institutions such as mining energy agriculture water and forest

bull Driving force Pressure and State elements in DPSIR

bull Asset and physical flow accounts of the SEEA-CF

3Residuals

Generation management anddischarge of residuals to airwater and soil

bull Physical bull Administrative recordsbull Estimates based on activity

statistics and technical coefficientsbull Sector statisticsbull Monitoring data

bull Pressure and Response elements in DPSIR

bull Physical flow accounts of the SEEA-CF

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 4: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Overview of FDES and implementation tools

bull The UN Statistical Commission endorsed the revised FDES 2013 at its 44th session in 2013 as the framework for strengthening environment statistics programmes in countries

bull The Statistical Commission also recognized the FDES 2013 as a useful tool in the context of sustainable development goals (SDGs) and the post-2015 development agenda

bull The objective arebull Help international and regional institutions to support strengthening capacity

in countries to develop environment statisticsbull Enhance comparability and availability of environment statistics using a

common frameworkbull Better inform policy making decisions

United Nations Statistics Division

httpsunstatsunorgunsdenvironmentFDESFDES-2015-supporting-toolsFDESpdf

United Nations Statistics Division

bull 6 components

bull At the centre Component 1 Environmental Conditions and Quality

bull All of the components relate to each other

bull Multi-level (component sub-component topic individual statistics)

bull Flexible

bull Adaptable

FDES is structured into 6 components

United Nations Statistics Division

Scope of the FDES

FDES covers biophysical aspects of the environment aspects of the human sub-system that directly influence the state and quality of the environment and the impacts of the changing environment on the human sub-system

It includes interactions within and among the environment human activities and natural events

Description of the FDES

Human Sub-system

Interactions between the environment and the human sub-system

Processes within the environment

Processes within the human sub-system

Environment

United Nations Statistics Division

Main Attributes of the Components of the FDESFDES Component

Description Types of Data

Main Sources and Institutions

Relation to DPSIR and the SEEA

1Environmental Conditions and Quality

Meteorological hydrographical geological geographical biological physical and chemical conditions and characteristics of the environment that determine ecosystems and environmental quality

bull Geospatialbull Physicalbull Qualitative

bull Monitoring and remote sensing data

bull Environmental meteorological hydrological geological and geographical authorities or institutions

bull State and Impact element in DPSIR

bull Experimental ecosystem accounts of the SEEA

2EnvironmentalResources andtheir Use

Quantities of environmentalresources and their changes and statistics on activities related to their use and management

bull Physicalbull Geospatial

bull Statistical surveys administrative records field surveys land registers

bull Sector statistics on production and consumption activities infrastructure

bull Remote sensing databull Statistics databases of respective

national authorities and institutions such as mining energy agriculture water and forest

bull Driving force Pressure and State elements in DPSIR

bull Asset and physical flow accounts of the SEEA-CF

3Residuals

Generation management anddischarge of residuals to airwater and soil

bull Physical bull Administrative recordsbull Estimates based on activity

statistics and technical coefficientsbull Sector statisticsbull Monitoring data

bull Pressure and Response elements in DPSIR

bull Physical flow accounts of the SEEA-CF

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 5: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

httpsunstatsunorgunsdenvironmentFDESFDES-2015-supporting-toolsFDESpdf

United Nations Statistics Division

bull 6 components

bull At the centre Component 1 Environmental Conditions and Quality

bull All of the components relate to each other

bull Multi-level (component sub-component topic individual statistics)

bull Flexible

bull Adaptable

FDES is structured into 6 components

United Nations Statistics Division

Scope of the FDES

FDES covers biophysical aspects of the environment aspects of the human sub-system that directly influence the state and quality of the environment and the impacts of the changing environment on the human sub-system

It includes interactions within and among the environment human activities and natural events

Description of the FDES

Human Sub-system

Interactions between the environment and the human sub-system

Processes within the environment

Processes within the human sub-system

Environment

United Nations Statistics Division

Main Attributes of the Components of the FDESFDES Component

Description Types of Data

Main Sources and Institutions

Relation to DPSIR and the SEEA

1Environmental Conditions and Quality

Meteorological hydrographical geological geographical biological physical and chemical conditions and characteristics of the environment that determine ecosystems and environmental quality

bull Geospatialbull Physicalbull Qualitative

bull Monitoring and remote sensing data

bull Environmental meteorological hydrological geological and geographical authorities or institutions

bull State and Impact element in DPSIR

bull Experimental ecosystem accounts of the SEEA

2EnvironmentalResources andtheir Use

Quantities of environmentalresources and their changes and statistics on activities related to their use and management

bull Physicalbull Geospatial

bull Statistical surveys administrative records field surveys land registers

bull Sector statistics on production and consumption activities infrastructure

bull Remote sensing databull Statistics databases of respective

national authorities and institutions such as mining energy agriculture water and forest

bull Driving force Pressure and State elements in DPSIR

bull Asset and physical flow accounts of the SEEA-CF

3Residuals

Generation management anddischarge of residuals to airwater and soil

bull Physical bull Administrative recordsbull Estimates based on activity

statistics and technical coefficientsbull Sector statisticsbull Monitoring data

bull Pressure and Response elements in DPSIR

bull Physical flow accounts of the SEEA-CF

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 6: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

bull 6 components

bull At the centre Component 1 Environmental Conditions and Quality

bull All of the components relate to each other

bull Multi-level (component sub-component topic individual statistics)

bull Flexible

bull Adaptable

FDES is structured into 6 components

United Nations Statistics Division

Scope of the FDES

FDES covers biophysical aspects of the environment aspects of the human sub-system that directly influence the state and quality of the environment and the impacts of the changing environment on the human sub-system

It includes interactions within and among the environment human activities and natural events

Description of the FDES

Human Sub-system

Interactions between the environment and the human sub-system

Processes within the environment

Processes within the human sub-system

Environment

United Nations Statistics Division

Main Attributes of the Components of the FDESFDES Component

Description Types of Data

Main Sources and Institutions

Relation to DPSIR and the SEEA

1Environmental Conditions and Quality

Meteorological hydrographical geological geographical biological physical and chemical conditions and characteristics of the environment that determine ecosystems and environmental quality

bull Geospatialbull Physicalbull Qualitative

bull Monitoring and remote sensing data

bull Environmental meteorological hydrological geological and geographical authorities or institutions

bull State and Impact element in DPSIR

bull Experimental ecosystem accounts of the SEEA

2EnvironmentalResources andtheir Use

Quantities of environmentalresources and their changes and statistics on activities related to their use and management

bull Physicalbull Geospatial

bull Statistical surveys administrative records field surveys land registers

bull Sector statistics on production and consumption activities infrastructure

bull Remote sensing databull Statistics databases of respective

national authorities and institutions such as mining energy agriculture water and forest

bull Driving force Pressure and State elements in DPSIR

bull Asset and physical flow accounts of the SEEA-CF

3Residuals

Generation management anddischarge of residuals to airwater and soil

bull Physical bull Administrative recordsbull Estimates based on activity

statistics and technical coefficientsbull Sector statisticsbull Monitoring data

bull Pressure and Response elements in DPSIR

bull Physical flow accounts of the SEEA-CF

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 7: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Scope of the FDES

FDES covers biophysical aspects of the environment aspects of the human sub-system that directly influence the state and quality of the environment and the impacts of the changing environment on the human sub-system

It includes interactions within and among the environment human activities and natural events

Description of the FDES

Human Sub-system

Interactions between the environment and the human sub-system

Processes within the environment

Processes within the human sub-system

Environment

United Nations Statistics Division

Main Attributes of the Components of the FDESFDES Component

Description Types of Data

Main Sources and Institutions

Relation to DPSIR and the SEEA

1Environmental Conditions and Quality

Meteorological hydrographical geological geographical biological physical and chemical conditions and characteristics of the environment that determine ecosystems and environmental quality

bull Geospatialbull Physicalbull Qualitative

bull Monitoring and remote sensing data

bull Environmental meteorological hydrological geological and geographical authorities or institutions

bull State and Impact element in DPSIR

bull Experimental ecosystem accounts of the SEEA

2EnvironmentalResources andtheir Use

Quantities of environmentalresources and their changes and statistics on activities related to their use and management

bull Physicalbull Geospatial

bull Statistical surveys administrative records field surveys land registers

bull Sector statistics on production and consumption activities infrastructure

bull Remote sensing databull Statistics databases of respective

national authorities and institutions such as mining energy agriculture water and forest

bull Driving force Pressure and State elements in DPSIR

bull Asset and physical flow accounts of the SEEA-CF

3Residuals

Generation management anddischarge of residuals to airwater and soil

bull Physical bull Administrative recordsbull Estimates based on activity

statistics and technical coefficientsbull Sector statisticsbull Monitoring data

bull Pressure and Response elements in DPSIR

bull Physical flow accounts of the SEEA-CF

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 8: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Main Attributes of the Components of the FDESFDES Component

Description Types of Data

Main Sources and Institutions

Relation to DPSIR and the SEEA

1Environmental Conditions and Quality

Meteorological hydrographical geological geographical biological physical and chemical conditions and characteristics of the environment that determine ecosystems and environmental quality

bull Geospatialbull Physicalbull Qualitative

bull Monitoring and remote sensing data

bull Environmental meteorological hydrological geological and geographical authorities or institutions

bull State and Impact element in DPSIR

bull Experimental ecosystem accounts of the SEEA

2EnvironmentalResources andtheir Use

Quantities of environmentalresources and their changes and statistics on activities related to their use and management

bull Physicalbull Geospatial

bull Statistical surveys administrative records field surveys land registers

bull Sector statistics on production and consumption activities infrastructure

bull Remote sensing databull Statistics databases of respective

national authorities and institutions such as mining energy agriculture water and forest

bull Driving force Pressure and State elements in DPSIR

bull Asset and physical flow accounts of the SEEA-CF

3Residuals

Generation management anddischarge of residuals to airwater and soil

bull Physical bull Administrative recordsbull Estimates based on activity

statistics and technical coefficientsbull Sector statisticsbull Monitoring data

bull Pressure and Response elements in DPSIR

bull Physical flow accounts of the SEEA-CF

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 9: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Main Attributes of the Components of the FDES (cont)

FDES Component

Description Types of Data

Main Sources and Institutions Relation to DPSIR and the SEEA

4ExtremeEvents andDisasters

Occurrence and impact ofnatural extreme events anddisasters and technologicaldisasters

bull Physicalbull Monetarybull Geospatialbull Qualitative

bull Administrative recordsbull Remote sensingbull National emergency and disaster authoritiesbull Seismic meteorological monitoring and

research centresbull Industrial complexes that work with

hazardous substances and processesbull Insurance companies

bull Pressure Impact and Response elements in DPSIR

bull Asset accounts of the SEEA-CF

5Human SettlementsandEnvironmental Health

The built environment in which humans live particularly with regard to population housing living conditions basic services and environmental health

bull Geospatialbull Physical

bull Population and housing censuses household surveys administrative records and remote sensing

bull Health and administrative recordsbull Housing and urban planning and oversight

authoritiesbull Cartographic authoritiesbull Transport authoritiesbull Health authority

bull Driving force Pressure and Impact elements in DPSIR

6Environmental ProtectionManagement andEngagement

Environmental protection and resource management expenditure environmental regulation both direct and via market instruments disaster preparedness environmental perception awareness and engagement of the society

bull Monetarybull Qualitative

bull Administrative recordsbull Surveysbull Entity producing government expenditure

statisticsbull Statistical entity in charge of national or sub-

national surveysbull Environmental authority and other sector

authorities

bull Response element in DPSIR

bull Environmental activity accounts and related flows of the SEEA-CF

Environment Statistics Section United Nations Statistics Division

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 10: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)

The FDES can be applied to inform about cross-cutting policy issues important to countries at any given time

ExamplesWater and the environmentEnergy and the environment Climate changeAgriculture and the environment

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 11: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Links between the FDES and social and economic statistics

The FDES 2013 is structured in a way that allows links to economic and social domains

It seeks to be compatible with other frameworks and systems both statistical and analytical such as the System of Environmental-Economic Accounting (SEEA) the Driving force ndash Pressure ndash State ndash Impact ndashResponse (DPSIR) framework and the Millennium Development Goals (MDGs) SDGs and the sustainable development indicator (SDI) frameworks

When applicable it is based on existing statistical classifications As such the FDES facilitates data integration within environment

statistics and with economic and social statistics

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 12: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Methodological Development and Dissemination of Knowhow

httpsunstatsunorgunsdenvstatsindexcshtml

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 13: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Basic Set of Environment Statistics and

Manual of the Basic Set

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 14: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

bull This presentation has been elaborated by the Environment Statistics Section of the United Nations Statistics Division

bull It is based on Chapter 3 and 4 of the Framework for the Development of Environment Statistics (FDES 2013)

2 Environmental Resources and

their Use

3 Residuals

4 Extreme Events and Disasters

6 Environmental

Protection Management and

Engagement

5 Human

Settlements and Environmental

Health

1Environmental Conditions and

Quality

bull BSES is available in all UN official languages httpsunstatsunorgunsdenvstatsfdesbasicsetcshtml

bull All statistical tables from chapter 3 included on 44 pages document

bull From Basic set to core set in chapter 4

2 Environmental Resources and their Use

3

Residuals

4 Extreme Events and Disasters

6 Environmental Protection Management and Engagement

5 Human Settlements and Environmental Health

1

Environmental Conditions and Quality

Click to edit Master text styles

Second level

Third level

Fourth level

Fifth level

image1emf

oleObject1bin

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 15: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Why do we need a Basic Set of Environment Statistics

bull The Basic Set was developed in response tobull country demandbull relevance of the statistics to environmental policiesissues bull corresponding FDES topics

bull The statistics contained in the Set are useful forbull generating national sets or databases of environment statisticsbull reporting on environment (MEAs) or sustainable development (SDGs)bull calculating environmental indicatorsbull generating environmental-economic accounts

Tier 1 Core Set of

Environment Statistics

Tier 2

Tier 3

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 16: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

The Basic and the Core Set of Environment Statistics

Basic Set of Environment Statisticsbull A comprehensive but not exhaustive set of statistics - supports national environment statistics programmesbull Map priority policy needs to statistics ndash helps determine priority environment statistics for national environment statistics programmebull It is flexible - 458 statistics ndash not all to be collected at once structured at 3 tiers Start with main priorities given available resources

Core Set of Environment Statisticsbull Tier 1 of the Core Set of Environment Statisticsbull Indicates the most relevant and available environment statistics with sound methodological foundationbull Often initial focus for national environment statistics programmes

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 17: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

What were the selection criteria of the Core Set

bull Relevance meets needs of a variety of users and is responsive to changes in the environment and related human activities

bull Measurability sufficient supporting data and meta-data readily available of accepted quality and regularly updated or possible to compile the statistics in the near term

bull Methodological soundness Core statistics should adhere to professional and scientific methods as well as to internationally agreed concepts and definitions to the extent possible

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 18: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Number of environment statistics in the Basic Set

Core Set or Tier 1 = 100 statisticsBasic Set = 458 statistics

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

Tier 1(100 statistics)

Core Set of Environment Statistics

Tier 2(200 statistics)

Tier 3(158 statistics)

Do you remember what the components areComponent 1 Environmental Conditions and QualityComponent 2 Environmental Resources and their UseComponent 3 ResidualsComponent 4 Extreme Events and DisastersComponent 5 Human Settlements and Environmental HealthComponent 6 Environmental Protection Management and Engagement

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 19: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

The Basic Set and its three tiers of statistics

The three tiers of statistics are defined as followsbull Tier 1 corresponding to the Core Set of Environment Statistics includes 100

statistics which are of high priority and relevance to most countries and have a sound methodological foundation It is recommended that countries consider producing them in the short-term

bull Tier 2 includes 200 environment statistics which are of priority and relevance to most countries but require greater investment of time resources or methodological development It is recommended that countries consider producing them in the medium-term

bull Tier 3 includes 158 environment statistics which are either of lower priority or require significant methodological development It is recommended that countries consider producing them in the long-term

Tier 1 Core Set of

Environment Statistics

Tier 2 Tier 3

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 20: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Number of Statistics Component 1 Component 2 Component 3 Component 4 Component 5 Component 6 Total

Tier 1 32 30 19 4 12 3 100

Tier 2 58 51 34 11 22 24 200

Tier 3 51 43 5 16 20 23 158

Total 141 124 58 31 54 50 458

bull Annual government environmental protection expenditure

bull List of regulated pollutants and descriptionbull List and description (year of participation) of MEAs

bull Population using an improved drinking water sourcebull Population using an improved sanitation facilitybull Population served by municipal waste collectionbull Population connected to wastewater treatmentbull Population supplied by water supply industrybull Number of private and public vehiclesbull Water-related diseases and conditions (incidence prevalence

mortality)bull Vector-borne diseases (incidence prevalence mortality)

bull (occurrence of by) Type of natural extreme event and disaster

bull Locationbull Number of people killedbull Economic losses due to natural extreme events and

disasters

bull Emissions of direct GHGsbull Volume of wastewater generated collected

treated and dischargedbull Waste statistics

bull Mineral resourcesbull Energy resourcesbull Energy (production supply consumption)bull Land use (deforestation stocks of timber

crops fertilizers and pesticides livestockbull Water statistics

bull Temperature precipitation watershedsbull Coastal waters coastlines coastal areasbull Soil types erosion desertificationbull Ecosystems and their extent flora and faunabull Protected areas forest area land cover types

extentbull Air quality freshwater quality marine water

quality

Core set statistics

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 21: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Reason

FDES 2013 does not include Methodological guidance with regard to

the collection and compilation of environmental data and its transformation into statistics

Practical and detailed guide to many of the Basic Set themes including variable definitions description of sources and data

collection methods of data

compilationprocessing for environment statistics production

quality control and validation methods of presentation and

dissemination and Applications in SDGs SEEA common

indicators etc

Scope of environment statistics Organizing structure Comprehensive though not

extensive list of statistics (Basic Set of Environment Statistics)

Relevance of the statistical topics the typical data sources and institutional partners and information on the most important aspects of temporal and spatial aggregation as well as on existing methodology

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 22: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Manual of the BSESGuidance on Indicators using FDES Statistics

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 23: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Manual of the BSES

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 24: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

The Basic Set is presented into the FDES structure supplemented with additional guidance

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 25: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Contents of the Manuals

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 26: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Plan of Work

1 Preparation This stage includes the preparatory work to be carried out by UNSD including the following tasks Prepare work programme metadata template Discuss with experts Distribute work among experts

2 Elaboration of draft methodologymetadata sheets Elaboration of methodologymetadata sheets (filling all fields of template) for the topicsstatistics

by responsible experts UNSD EGES other experts from specialized agencies as needed

3 Review and finalization The peer review of the drafts of the methodological sheets is carried out on a continuous basis as

drafts become available Both national and international experts are called upon to review submitted methodologymetadata sheets before their finalization

4 Dissemination The methodology sheets when finalized is disseminated through the website

httpsunstatsunorgunsdenvstatsfdesmanual_bsescshtml

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 27: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 1 Environmental Conditions and Quality

Component 2 Environmental Resources and their Use Component 3 Residuals

Sub-component 11 Physical Conditions Sub-component 21 Mineral Resources Sub-component 31 Emissions to Air

Topic 111 Atmosphere climate and weather Topic 211 Stocks and changes of mineral resources Topic 311 Emissions of greenhouse gases

Topic 112 Hydrographical characteristics Topic 212 Production and trade of minerals

Topic 312 Consumption of ozone depleting substances

Topic 113 Geological and geographical information Sub-component 22 Energy Resources Topic 313 Emissions of other substances

Topic 114 Soil characteristics Topic 221 Stocks and changes of energy resources

Sub-component 32 Generation and Management of Wastewater

Sub-component 12 Land Cover Ecosystems and Biodiversity

Topic 222 Production trade and consumption of energy

Topic 321 Generation and pollutant content of wastewater

Topic 121 Land cover Sub-component 23 Land Topic 322 Collection and treatment of wastewater

Topic 122 Ecosystems and biodiversity Topic 231 Land use Topic 323 Discharge of wastewater to the environment

Topic 123 Forests Topic 232 Use of forest land Sub-component 33 Generation and Management of Waste

Sub-component 13 Environmental Quality Sub-component 24 Soil Resources Topic 331 Generation of wasteTopic 131 Air quality Topic 241 Soil resources Topic 332 Management of waste

Topic 132 Freshwater quality Sub-component 25 Biological Resources Sub-component 34 Release of Chemical Substances

Topic 133 Marine water quality Topic 251 Timber resources Topic 341 Release of chemical substancesTopic 134 Soil pollution Topic 252 Aquatic resourcesTopic 135 Noise Topic 253 Crops

Topic 254 LivestockTopic 255 Other non-cultivated biological resources Sub-component 26 Water ResourcesTopic 261 Water resourcesTopic 262 Abstraction use and returns of water

CompleteDraft under reviewNot started

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 28: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Topics covered by Methodology SheetsComponent 4 Extreme Events and Disasters Component 5 Human Settlements and

Environmental HealthComponent 6 Environmental Protection Management and Engagement

Sub-component 41 Natural Extreme Events and Disasters Sub-component 51 Human Settlements Sub-component 61 Environmental protection

and resource management expenditure

Topic 411 Occurrence of natural extreme events and disasters Topic 511 Urban and rural population

Topic 611 Government environmental protection and resource management expenditure

Topic 412 Impact of natural extreme events and disasters

Topic 512 Access to selected basic services

Topic 612 Corporate non-profit institution and household environmental protection and resource management expenditure

Sub-component 42 Technological Disasters Topic 513 Housing conditions Sub-component 62 Environmental Governance and Regulation

Topic 421 Occurrence of technological disasters Topic 514 Exposure to ambient pollution Topic 621 Institutional strength

Topic 422 Impact of technological disasters Topic 515 Environmental concerns specific to urban settlements

Topic 622 Environmental regulation and instruments

Sub-component 52 Environmental Health Topic 623 Participation in MEAs and environmental conventions

Topic 521 Airborne diseases and conditions

Topic 631 Preparedness for natural extreme events and disasters

Topic 522 Water-related diseases and conditions

Topic 632 Preparedness for technological disasters

Topic 523 Vector-borne diseases Sub-component 64 Environmental Information and Awareness

Topic 524 Health problems associated with excessive UV radiation exposure Topic 641 Environmental Information

Topic 525 Toxic substance- and nuclear radiation-related diseases and conditions Topic 642 Environmental Education

Topic 643 Environmental Perception and AwarenessTopic 644 Environmental engagement

CompleteDraft under reviewNot started

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 29: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

More Tools to Support Implementation

Environment Statistics Self-Assessment Tool (ESSAT)

bull FDES-coherent compendia on environment statistics

Methods resource

hub

bull Censuses and surveys

FDESManual on Basic Set of

Environment Statistics

httpsunstatsunorgunsdenvstatsindexcshtml

Knowledge Portal

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 30: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Strategic PillarsBlueprint for Action

Methodological development

and dissemination of know how

FDES amp Core Set of Statistics

Capacity building and

technical assistance

Inter-institutional collaboration

Statistical ndashEnvironmental management -

Scientific

Networking

Participating in global and

regional communities

Resource mobilization

Internal and External

Advocacy

Within public policywithin

statistical community

httpsunstatsunorgunsdstatcomdoc13BG-FDES-Environment_Blueprintpdf

Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 31: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

National Action Plan - template10 Background and justification

11 Justification12 National and international environment policies13 Other related initiatives

20 Objective of the national plan30 Stakeholders40 Environment Statistics Self-Assessment (ESSAT) Summary

41 Data summary42 Institutional needs43 Organisational needs

50 Outputs and activities51 Impact52 Outcome53 Outputs and activities

Objective 10 Inter-institutional collaboration Improve collaboration coordination and awareness of key players across all stages of statistical production and disseminationObjective 20 Methodological development and dissemination of know-howObjective 30 Capacity building and technical assistanceObjective 40 Investing in physical infrastructureObjective 50 Human resource development and managementObjective 60 NetworkingObjective 70 Resource mobilization and advocacy60 Workplan70 Overall budget8 0 Next Steps

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 32: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Key considerations

bull National statistics systembull Data providersbull Data storage management and quality control bull Statistics compilation disseminationbull Users needs and data services

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 33: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

The Environment Statistics Assessment amp

Environment Statistics Self-Assessment Tool

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 34: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

What is it

bull The full ESSAT is composed of two partsI Institutional Dimension of Environment StatisticsII Statistics Level Assessment

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 35: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

ESSAT Part I Institutional Dimensionof Environment Statistics

A Identification of institutions (lead institution collaborators)B Existing national policies relevant to the environmentC Mandate and organization of national statisticsD Mandate and organization of environment statisticsE Production of environment statisticsF Uses of environment statisticsG Inter-institutional collaboration for the production of environment statisticsH Existing and required resources for environment statisticsI International and regional networkJ Technical assistance and trainingK The way forward in environment statistics

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 36: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

ESSAT Part II Statistics Level Assessment

Containsbull Instructionsbull Indexbull Six components

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 37: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

bull Which institutions are involvedbull What data is available (ESSAT Part II)bull What data is needed

bull For national environment policiesbull Reporting for Multilateral Environment Agreements and SDGs

bull To identify the data gapsadditional data needed by comparing data availability with need

bull To identify the capacity development needs to meet existing needs and fill data gapsbull To prioritize data needed

1 Aim of the assessment

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 38: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

1 Aim of the assessment

Capacities needed to

meet data gap

Action Plan

bull Strategic Objectives

bull Outputs and activities

bull Budget and Workplan

Data products

bull Compendiabull Databasebull Reporting to

MEAsbull Reporting on

SDGs

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 39: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

3 Data availability

bull Existing compendia year-books are good to start withbull Producers should identify which statistics they produce and record on ESSATbull Statistics can go beyond those listed if related to the environment and nationally

relevantbull Eg some countries include tourism related statistics

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 40: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Use of the Environment Statistics Self-Assessment ToolProcess

bull Guides a multi-stakeholder consultation and discussion process bull Process led by the National Statistical Office or the Ministry of Environmentbull Joint effort by all main relevant stakeholders in environment statisticsbull Convene stakeholders agree on process conduct assessment with each

stakeholderbull Validation of assessment for each stakeholder and as a group ndash agree on

picture of environment statistics in country as a group in open and transparent manner

bull Country can convene stakeholders under existing or new committee inter-institutional working group or task force to bring together all the stakeholders

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 41: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Capacity building and technical assistance

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 42: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Capacity building and technical assistance

UNSD activitiesRegional workshops to disseminate FDESbull Common Market for Eastern and Southern Africa

(COMESA) Mauritius (Jan 2015)bull East African Community (EAC) Tanzania (July

2015)bull Economic Community of West African States

(ECOWAS) Togo (Oct 2015)bull Economic Community of Central African States

(ECCAS) Gabon (Nov 2017)bull Economic and Social Commission for Western

Asia (ESCWA) Lebanon (Nov 2018)bull UNECA regional workshop (Kenya)(Sep 2017)bull Caribbean Community (CARICOM) (Nov 2019)

National workshops such as Kenya Uganda Egypt (with COMESA) Rwanda Tanzania Burundi Gambia Namibia Equatorial Guinea Grenada

bull Activities with DA 9 and 10 projects and UNSD regular programme of technical cooperation

bull Delivering in kind contributions with partners

bull Regional sub-regional and national workshops national capacity development

bull Development of training material and delivery of e-learning course

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 43: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Costa RicaPanama

Countries conducting or initiating Environment Statistics Self-Assessment Tool (ESSAT)

IndonesiaPhilippinesMongolia

BotswanaBurkina FasoBurundiCabo VerdeEgyptEthiopiaEquatorial GuineaGambiaKenya

Brazil

ColombiaEcuador SurinameVenezuela

MadagascarMauritiusNamibiaRwandaTanzaniaTogoUgandaZambiaZimbabwe

Hungary

BahamasDominican RepJamaica

ESSAT httpsunstatsunorgunsdenvstatsfdesessatcshtml

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 44: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Costa RicaPanama

Countries compiling FDES-coherent compendia

IndonesiaNepalPhilippinesBurkina Faso

BotswanaBurundiMadagascarMaliMauritiusZimbabwe

Guatemala

CuracaoJamaicaSuriname

JordanUAE

All compendia available at httpsunstatsunorgunsdenvstatsfdescompendiacshtml

ForthcomingThe GambiaKenyaNamibiaRwandaTanzaniaUganda

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 45: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Data collection methods in Environment Statistics ndash

Characteristics and Challenges

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 46: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

1 Main users of environment statistics

Users Main Types of Environment Statistics

Policy and Decision Makers Environmental indicators andmore aggregated statistics

General Public (including media and civil society)

Environmental indicators andmore aggregated statistics

Analysts Researchers and Academia Extensive and detailed environment statistics

The type the level of thematic spatial and temporal aggregation and the format of environment statistics depend on the type of user and the intended purpose of use

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 47: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Products of Environment Statistics

Common products of environment statistics arebull Detailed descriptive environment statistics seriesbull Environmental indicators

Both can be bull Stored in multi-purpose databases bull Disseminated in the form of

bull Online databases bull Publications (eg compendia yearbooks)bull Thematic reportsbull Analytical publications (egstate of the environment reports)

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 48: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

2 Environmental information data statistics and indicators

Examples of quantitative environmental information

Environmental data

Environment statistics

Environmental indicators

Environmental indices

Environmental-economic accounts

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 49: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Environmental information

bull Environmental information describes quantitative qualitative or geographically referenced facts representing the state of the environment and its changes

bull Quantitative environmental information bull Consists of data statistics and indicators and is generally disseminated

through databases spreadsheets compendia and yearbook type products

bull Qualitative environmental information bull Consists of descriptions (eg textual pictorial) of the environment or its

constituent parts that cannot be adequately represented by accurate quantitative or geographically referenced descriptors

bull Geographically referenced environmental information bull Provides facts on the environment and its components

using digital maps satellite imagery and other sources linked to a location or map feature

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 50: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Environmental databull Environmental data are large amounts of unprocessed

observations and measurements about the environment (or its components) and related processes

bull They can be collected or compiled bybull NSOs environmental ministries sectoral authorities

(water forest mining etc) bull Using different types of sources

bull Statistical surveys (censuses or sample surveys)

bull Administrative records registers and inventories

bull Monitoring networks remote sensing scientific research and field studies

2 Environmental information data statistics and indicators

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 51: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Environment statistics

bull Environment statistics structure synthesize and aggregate environmental and other data according to statistical methods standards and procedures

bull Environment statistics process environmental data into meaningful statistics describing the state and trends of the environment and the main processes affecting it

bull Not all environmental data are used in the production of environment statistics bull The FDES provides a framework that identifies environmental data that fall

within its scope bull The FDES contributes to structuring synthesizing and aggregating data into

statistical series and indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 52: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Validation

Structure

Metadata (description)

Data amp Microdata

Statistics (Compendia

amp Databases)

Statistics selection amp processing

Indicators

Statistical process from raw data to statistics and indicators

Environment statistics units compile collect validate describe and structure environmental data to produce environment statistics series

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 53: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Environmental indicators

bull Environmental indicatorsbull are environment statistics that are in need of further processing and

interpretation Environment statistics are usually too numerous and detailed to satisfy the needs of policy makers and the general public

bull Environmental indicators bull Synthesize and present complex statistics bull Are measures that summarize simplify and communicate information bull Define objectives assess present and future direction with respect to

goals and targets bull Evaluate specific programmes demonstrate progress measure changes in

a specific condition or situation over time bull Determine impact of programmes and conveying messages

Policy frameworks such as the Sustainable Development Goal indicator framework are used for the identification and structuring of indicators

2 Environmental information data statistics and indicators

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 54: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

3 Sources of environment statistics

bull Environment statistics synthesize data originating from a wide range of source typesbull Data used for the production of environment statistics are compiled by many

different collection techniques and institutions bull Understanding and knowing pros and cons of each source is key in environment

statistics production

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 55: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Types of sources

1 Statistical surveys (ie censuses or sample surveys of population housing agriculture enterprises households employment and different aspects of environment management)

2 Administrative records of government and non-government agencies in charge of natural resources as well as other ministries or authorities

3 Remote sensing and thematic mapping (ie satellite imaging of land use water bodies or forest cover)

4 Monitoring systems (ie field-monitoring stations for water quality air pollution temperature etc)

5 Scientific research and special research projects undertaken to fulfill national or international demand

3 Sources of environment statistics

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 56: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Statistical Surveys

(a) Censuses collection of data from the entire population of interest (b) Sample Surveys carried out using a sampling method in which data are

collected from a representative portion of the population of interest Environment statistics can be collected from surveys by

(i) adding environment-related questions (modules) to surveys primarily intended to collect data on other topics

(ii) using surveys primarily intended to collect environment statistics When environmental data are collected through environment statistics

surveys the survey is designed according to its objective of producing environment statistics

bull Environment statistics surveys are not always feasible or economical with restricted budgets

bull Many environment-related surveys and censuses are available at httpsunstatsunorgunsdenvstatscensuses

3 Sources of environment statistics

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 57: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Administrative records

Administrative data kept by government agencies and otherorganizations may be used for the production of environment statisticsAdvantage bull Cost of collecting such data is significantly less than establishing and

conducting a surveybull Level of response burden is minimizedbull Complete coverage is assured of units under administration

Possible Limitationsbull Differences between administrative and statistical terms and definitionsbull Risk of deliberate misreportingbull Data may not be checked or validated for statistical purposes there may be

restrictions of access to the databull Coverage of data though complete for administrative purposes might not

match statistical requirements

3 Sources of environment statistics

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 58: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Remote Sensing and Thematic Mapping

Remote sensing is the science of obtaining information about objects or areas from a distance typically from aircraft or satellites

Remote sensing makes it possible tobull Collect data on dangerous or inaccessible areas bull Replace costly and slow data collection on the ground

ensuring in the process that areas or objects are not disturbed

bull Uses satellite aircraft spacecraft buoy ship balloon and helicopter images

bull Result can be mapped imaged tracked and observedExampleRemote sensing data can be captured and analyzed to measure

forest cover compare the impact of natural disasters changes in the area of soil erosion the extension of pollution changes in land cover or population estimates of different animal species

3 Sources of environment statistics

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 59: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Monitoring systemsTypically comprised of field-monitoring stations which are used to describe the

qualitative and quantitative aspects of environmental media ie air water or soil quality hydrological or meteorological parameters and characteristics

Main advantages of these data are that they are (i) Usually collected using verifiable scientific methods

(ii) Usually validated(iii) Often available as time series(iv) Frequently use modeling to improve data quality

Possible limitations of data from monitoring systems are bull Field-monitoring stations are usually located in ldquohot-spotrdquo areas where there

are (i) high levels of pollution (ii) highly sensitive areas (iii) large numbers of the population are affected

Consequently the measurements will be location-specific and due to the limitations of their representativeness they are difficult to aggregate over space

3 Sources of environment statistics

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 60: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Scientific Research

Main advantages of using data from scientific research and special projects are(i) these data are usually available for free or for low cost(ii) they minimize response burden(iii) they can be used to fill in data gaps(iv) they are useful for developing coefficients for models

Possible limitations of using these sources include (i) they often use terms and definitions that differ from those used in statistics(ii) access to microdata may be limited

(iii) metadata may be missing(iv) often data are available only for case examples

(ie limited areas or industries)(v) often data are available on a one-time basis

3 Sources of environment statistics

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 61: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

4 Institutional dimension of environment statistics

bull The institutional dimension can be as important as technical capacity when developing environment statistics at the national level

bull Given the multi-disciplinary and cross-cutting nature of environment statistics the production of environmental data and statistics involves numerous stakeholders actors and producers

bull Insufficient institutional development overlapping mandates and functions inadequate interagency coordination and other institutional issues are very common in many countries

These limitations also exist at international level multiple partner agencies operate with different mandates work programmes and production timetables

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 62: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Resolving institutional concernsbull Identifying the primary institutional obstacles that impede the

production of environment statistics and developing a strategy to overcome these is vital for countries keen on developing or strengthening their environment statistics programmes

bull Key elements pertaining to the institutional dimensionbull The legal framework clear mandate clear Memoranda of

Understandingbull Institutional developmentbull Inter-institutional collaborationbull Institutional cooperation of national regional and global

bodiesbull Applying the Environment Statistics Self-Assessment Tool (ESSAT)

can help in this regard httpsunstatsunorgunsdenvstatsfdesessatcshtml

4 Institutional dimension of environment statistics

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 63: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Institutional development

bull A well defined mandate and a specific unit in charge of carrying out the production of environment statistics is critical for the successful organization of a national environment statistics programme within the official institutions responsible for the production of statistics

bull This unit requires a regular budget for operations and a minimum number of trained personnel for the tasks entailed

It is ideal for environment statistics units to have a capacity building programme for staff

4 Institutional dimension of environment statistics

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 64: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Inter-institutional collaboration

bull Environment statistics cover several topics for which the data are being generated by NSOs specialized agencies ministries provincial and municipal governments and scientific institutions

bull Inherent to environment statistics collaboration of these stakeholders both at the strategic and technical level

4 Institutional dimension of environment statistics

Institutions and people

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 65: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

bull Formalized by inter-agency platformscommittees tasked with coordinating the production of environment statistics brings together all institutions that produce and use environmental data and statistics

bull One of the tasks of the platform is to ensure that common statistical methodology protocols and tools are being used to ensure comparability and statistical soundness Another relevant function is to preserve continuity over time despite significant turnover of staff in the different partner institutions

bull Depending on the institutional set-up in many developing countries the coordination role in such platforms lies with the NSO or the environmental ministry or equivalent institution

bull The NSO if tasked with overseeing the national statistical system and coordinating these platforms must have adequate authority resources or capacities to lead the multi-stakeholder processes

Inter-institutional collaboration

4 Institutional dimension of environment statistics

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 66: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

GIS and Earth observation

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 67: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics DivisionGovernment Accountability Office (2004) ldquoGeospatial Information Better Coordination Needed to Identify and Reduce Duplicative Investmentsrdquo available from wwwgaogovassets250243133pdf

Geospatial information adds significant value and utility to environment statistics

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 68: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Main concepts and definitions on GISbull GIS is ldquoAn integrated collection of computer software and data used to view and

manage information about geographic places analyze spatial relationships and model spatial processesrdquo Source ESRI

bull The underlying assumption is that any geographic entity can be depicted as a Feature (point line or polygon) or group of Grid cells

bull A set of feature data representing a concrete theme is called vector layer for example layer of post offices (points) layer of roads layer of rivers (lines) layer of cadastral properties (polygons) Multiple layers can be overlaid and visualized as composite landscape structures on a single layout map

bull A raster layer references a raster file as its data source and a raster renderer that defines how the raster data should be rendered and any additional display properties Source ESRI

bull The single maps are lsquofixedrsquo as a Data frame (containing several layers and grids as separate files) and saved as a Project

bull Geodatabase is a set of shapefiles (either points lines polygons) and grids linked in a single structure

bull Complete list of terms available from ESRI here httpwebhelpesricomarcgisserver93javageodatabasesdefinition_framehtm

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 69: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Main concepts and definitions on Earth Observation

1 Remote sensing the science and art of identifying observing and measuring an object without coming into direct contact with it This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials by which they may be identified and categorized by classtype substance and spatial distribution (NASA) bull Measures continuous arrays of reflectance values and the (approximate) geographic

location of pixels or grid-cells

2 Optical remote sensing Satellite and Aerial for land cover and use3 Synthetic Aperture Radar for biomass peatlands elevation

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 70: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Satellite instruments

High resolutionbull NASArsquos Landsatbull ESArsquos Sentinelsbull SPOTVery high resolutionbull QuickBirdbull IkonosModerate resolutionbull NASArsquos MODISbull ESArsquos MERISSARbull ALOS-PALSAR

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 71: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Overview What is GIS and how it works

1 Course is based on personal experience and is designed to aid ecosystem accounting purposes

2 More basic introductions to GIS with online training are available from ESRI httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

3 Situation you are a statistician and you are faced with GIS data examples raster file of Land cover (GlobCover2009) and UNmap vector data on countries

4 You need to learn how to load explore and understand the attributes with the spatial data

httptrainingesricomgatewayindexcfmfa=catalogwebCourseDetailampCourseID=1911

E-learning course designed to introduce thorough conceptual and practical issues in 3 modules

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 72: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Compilation of Environment Statistics

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 73: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

How can we move from the existence of data sources spread across institutions to well compiled environment statistics

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 74: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Compilation of Environment StatisticsLet us look at some successful cases among CARICOM countrieshellip

Examples of FDES-compliant compendia

CuracaoJamaicaSuriname

All compendia are available athttpsunstatsunorgunsdenvstatsfdescompendiac

shtml and on each countryrsquos respective website

Examples of national compendia on environment statistics

BelizeBermudaDominicaGrenadaSaint LuciaSt Vincent and the Grenadines

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 75: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Curacao (2015)

Suriname (2018)

Jamaica (2016)

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 76: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

All known compendia available here httpsunstatsunorgunsdenvstatsfdescompendiacshtml

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 77: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Typical content of a compendiumhellip

bull Preamblebull Acknowledgementsbull List of tablesbull List of figuresbull Abbreviationsbull Introductionbull Methodology Component 1 Environmental Conditions and QualityComponent 2 Environmental Resources and Their UseComponent 3 ResidualsComponent 4 Extreme events and disastersComponent 5 Human settlements and environmental healthComponent 6 Environmental protection management and engagementbull References

All of the above undertaken per the situation and needs of Grenada

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 78: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Demonstration of the Mauritian examplehellip

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 79: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Demonstration of the Mauritian examplehellip use of maps

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 80: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 81: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 82: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Demonstration of the Mauritian example descriptive text to complement datahellip

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 83: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Demonstration of the Mauritian example some (country-owned) definitions of terms usedhellip

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 84: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Demonstration of the Mauritian example abbreviations used throughouthellip

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 85: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

The value of an Environment Statistics Compendium

bull Data and information can be shared with the public to inform perception and debate

bull Data are more readily accessible to researchers policy analysts key decision makers

bull Grenada is in ownership of its own databull A compendium is a natural follow-up to an assessment (eg if a country

applies the Environment Statistics Self-Assessment Tool (ESSAT))bull Compendium serves as a tool of coordination among the Statistical

Office and ministriesagenciesbull Behind the scenes of a glossy compendium there is invariably a

database or several databases on several environmental themes which can be developed in the long-term

bull Compendium can improve quality of data

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 86: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Process toward realising an Environment Statistics Compendium

bull Following an assessment identification of who (which institution) collects data at what periodicity via which data collection instrument (survey monitoring station administrative data) etc can be made

bull Data may be centrally collected and compiled into a compendium by the NSO in collaboration with key stakeholders

bull A National Committee on Environment or similar committee can provide forum for conversation between NSO and ministriesagencies

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 87: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Quality control and validation of Environment Statistics

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 88: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Uncertainty in environmental data and statistics

Unlike many areas of social and economic statistics environment is subject of big uncertainties becausebull Inherent strong variations (eg precipitation temperatures)bull Often data is produced with small samples (for ex vegetation sampling)bull Remote sensing inputs (on land cover)bull Modelling (if often needed to fill in gaps)

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 89: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics DivisionSource United Nations Statistics Division Fundamental Principles of Official Statistics available from httpunstatsunorgunsddnssgpfundprinciplesaspx

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 90: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

1 Relevance considers the coverage and contents of the neededinformation2 Accuracy is lsquoThe closeness between an estimated result and the(unknown) true value3 Timelines and punctuality is the time-lapse between the publication ofdata and referred period4 Accessibility and clarity refer to clarity of metadata easiness of users tounderstand the data5 Comparability is the degree to which data can be compared over time anddomain spatial domains include sub-national national and international6 Coherence is the degree to which data derived from different sources ormethods produce similar output

Six Quality Dimensions of official statistics

European Statistical System (httpeppeurostateceuropaeu)

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 91: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

8 December 2015

Validation example Net ecosystem production in Europe

Dom land cover N Rmean

ground NEPmean

grid NEP biasbias () RMSE

broadleaf forest 54 062 470 419 -51 -11 192crops 51 051 286 197 -89 -31 248grass 64 033 90 98 8 9 166natural veg 22 058 91 105 14 16 84

needle-leaf forest 67 074 366 297 -69 -19 238

Total 258 071 279 237 -42 -15 205

r = 071 significant at 001 level

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92
Page 92: Introduction to environment statistics€¦ · changing environment on the human sub-system. ... and Response elements in DPSIR ... Settlements. and. Environmental Health. The built

United Nations Statistics Division

Thank you for your attention

For more information please contact the Environment Statistics Section at the UN Statistics Division

E-mail envstatsunorgwebsite httpunstatsunorgunsdENVIRONMENT

  • Introduction to environment statistics
  • Outline
  • Overview of FDES and implementation tools
  • Overview of FDES and implementation tools
  • Slide Number 5
  • FDES is structured into 6 components
  • Slide Number 7
  • Slide Number 8
  • Slide Number 9
  • Applications of the FDES to cross-cutting issues(Chapter 5 of FDES 2013)
  • Links between the FDES and social and economic statistics
  • Methodological Development and Dissemination of Knowhow
  • Basic Set of Environment Statistics andManual of the Basic Set
  • Slide Number 14
  • Why do we need a Basic Set of Environment Statistics
  • The Basic and the Core Set of Environment Statistics
  • What were the selection criteria of the Core Set
  • Number of environment statistics in the Basic Set
  • The Basic Set and its three tiers of statistics
  • Core set statistics
  • Reason
  • Manual of the BSESGuidance on Indicators using FDES Statistics
  • Manual of the BSES
  • Slide Number 24
  • Contents of the Manuals
  • Plan of Work
  • Topics covered by Methodology Sheets
  • Topics covered by Methodology Sheets
  • Slide Number 29
  • Blueprint for Action 2013 (also adopted at 44 Session of Stat Commission)
  • National Action Plan - template
  • Key considerations
  • Slide Number 33
  • What is it
  • ESSAT Part I Institutional Dimensionof Environment Statistics
  • ESSAT Part II Statistics Level Assessment
  • Slide Number 37
  • 1 Aim of the assessment
  • 3 Data availability
  • Use of the Environment Statistics Self-Assessment ToolProcess
  • Capacity building and technical assistance
  • Capacity building and technical assistance
  • Slide Number 43
  • Slide Number 44
  • Slide Number 45
  • 1 Main users of environment statistics
  • Products of Environment Statistics
  • 2 Environmental information data statistics and indicators
  • Environmental information
  • Environmental data
  • Environment statistics
  • Slide Number 52
  • Environmental indicators
  • 3 Sources of environment statistics
  • Types of sources
  • Statistical Surveys
  • Administrative records
  • Remote Sensing and Thematic Mapping
  • Monitoring systems
  • Scientific Research
  • 4 Institutional dimension of environment statistics
  • Resolving institutional concerns
  • Institutional development
  • Inter-institutional collaboration
  • Inter-institutional collaboration
  • Slide Number 66
  • Slide Number 67
  • Main concepts and definitions on GIS
  • Slide Number 69
  • Slide Number 70
  • Overview What is GIS and how it works
  • Slide Number 72
  • Slide Number 73
  • Slide Number 74
  • Slide Number 75
  • Slide Number 76
  • Slide Number 77
  • Slide Number 78
  • Slide Number 79
  • Slide Number 80
  • Slide Number 81
  • Slide Number 82
  • Slide Number 83
  • Slide Number 84
  • Slide Number 85
  • Slide Number 86
  • Slide Number 87
  • Slide Number 88
  • Slide Number 89
  • Slide Number 90
  • Validation example Net ecosystem production in Europe
  • Slide Number 92