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facebook.com/statisticssweden @SCB_nyheter How Geospatial Statistics can measure climate change Marie Haldorson Director Regions & Environment Department

Facebook.com/statisticssweden @SCB_nyheter How Geospatial Statistics can measure climate change Marie Haldorson Director Regions & Environment Department

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How Geospatial Statistics can measure climate change

Marie HaldorsonDirector

Regions & Environment Department

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The Swedish Example

Georef. Register

data

Spatial data

Processing

Statistics

Cadastral mapFarm blocksLocalitiesNational Road databaseLand coverEtc

Population registerReal estate registerFarm registerOpen pit registerEtc

Creating Geospatial statistics

- David Svensson- 42 years- Married to Lisa- 2 children

- Works at a bank in Solna- Earns 43 000 Euro/year- Drives a Volvo V70

- Lives in a house with 9 775 sqm dwelling area.- 275 people live in the same house

100 meters to the closest health clinic

290 meters to the closest grocery store

- David Svensson- 42 years- Married to Lisa- 2 children

- Works at a bank in Solna- Earns 43 000 Euro/year- Drives a Volvo V70

- Lives in a house with 9 775 sqm dwelling area.- 275 people live in the same house

100 meters to the closest health clinic

290 meters to the closest grocery store

100 meters to the closest road

- David Svensson- 42 years- Married to Lisa- 2 children

- Jobbar på bank i Solna- Tjänar 430 000 om året- Kör Volvo V70

- Bor i fastighet taxerad som hyreshusenhet med bostäder och lokaler. 9 775 kvm bostadsyta.- 275 andra personer bor i fastigheten

100 meters to the closest health clinic

290 meters to the closest grocery store

Access to 2 hectares green area within 100 meters from home

100 meters to the closest road

- David Svensson- 42 years- Married to Lisa- 2 children

- Works at a bank in Solna- Earns 43 000 Euro/year- Drives a Volvo V70

- Lives in a house with 9 775 sqm dwelling area.- 275 people live in the same house

100 meters to the closest health clinic

290 meters to the closest grocery store

Access to 2 hectares green area within 100 meters from home

100 meters to the closest road

Acess to four alottments within 400 meters from home

- David Svensson- 42 years- Married to Lisa- 2 children

- Works at a bank in Solna- Earns 43 000 Euro/year- Drives a Volvo V70

- Lives in a house with 9 775 sqm dwelling area.- 275 people live in the same house

100 meters to the closest health clinic

290 meters to the closest grocery store

Access to 2 hectares green area within 100 meters from home

100 meters to the closest road

Acess to four alottments within 400 meters from home

The issue of disclosure

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Developing a Statistical Spatial Framework

UN-GGIM & GEOSTAT2

User needs

Admin. & statistical boundaries

Addressing, Place Names

Transport, Water

Land and Property

Elevation and Depth

Imagery

Positioning

Foundation Spatial Data Frameworks – Fundamental Elements

Data layers:

NSS Socio-Economic Datasets

Land Valuation and Use

Immigration

Others …

Core Statistical

Census, Demographics, Agriculture, Building,

Labour Force, etc.

Tax

Income and Business Tax

Health

Medicare, Pharmaceuticals,

Workforce

Social WelfareUnemployment,

Disability, Family Support

SSF bridge

Statistical Community Spatial Community

Statistical Spatial Framework

Stati

stica

l Spa

tial Fr

amew

ork (

SSF)

Accessible & Usable

Interoperable metadata

Common geographic boundaries

Data management: geocoded unit record data

Authoritative geospatial infrastructure and geocoding

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Institutional arrangements

UN-GGIM:Europe

INSPIRE

Swedish Geodata Cooperation

the Competitiveness and Innovation framework Programme (CIP)ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK

Copyright ©2013 EuroGeographics

The first UN-GGIM:Europe report:

“Data Integration – Definition of priority user needs for combinations of data”

the Competitiveness and Innovation framework Programme (CIP)ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK

Five recommendations:• That Member States in Europe support the

development of a European Spatial Data Strategy based on comprehensive National Spatial Data Strategies. This includes an obligation to geocode all administrative data records at unit level and to use geospatial information that is already available, rather than creating their own datasets.

• That Member States initiate a process to increase the number of national authoritative geospatial datasets to better meet stakeholders requirements.

the Competitiveness and Innovation framework Programme (CIP)ICT Policy Support Programme (PSP) Call 6 Grant 325140 EUROPEAN LOCATION FRAMEWORK

Five recommendations:• That Member States consider the requirements of

National Statistical Institutes to provide geospatial information for following trends and changes in the environment.

• That Member States promote the use of geospatial workflows and technology as key to advancing the integration of geospatial and thematic information.

• That Member States promote the use of geospatial workflows and technology, in particular for the Census 2021.

The INSPIRE Directive The European INSPIRE Directive entered in force in

May 2007 and will be fully implemented by 2020.

An infrastructure for spatial information in Europe – supports environmental policies and policies or activities which may have an impact on the environment.

The Directive is implemented innational legislation.

27 Member States provide search, view and download services

34 Spatial data themes – both reference data and thematic data from different authorities

The Swedish Spatial Data Cooperation

Initiated by the European INSPIRE Directive

INSPIRE requires data sharing between public authorities

The parties access spatial data for official use at an annual fee

The Swedish Spatial Data Strategy gives the cooperation a broader scope than INSPIRE

Organisation f

Organisation d

Organisation e

Organisation gOrganisation a

Organisation b

Organisation c

Organisation d

Joint Agreement

onDatasharing

Organisation h

Before 2011and after…..

The Swedish Spatial Data Cooperation

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The Power of Where

Potential impact of climate change (ESPON 2013 Programme – CLIMATE project)

Administrative Areas vs. Grids

Flooding – how to prepare

Example of GIS-application for calculation of consequences of a dam failure