Geospatial Data and Key Characteristics of Geospatial Data Analysis and Science

®

© 2016 Open Geospatial Consortium

Geospatial Data and Key Characteristics of Geospatial Data

Analysis and Science: The Way Forward

Luis Bermudez, Ingo SimonisOpen Geospatial Consortium

lbermudez@opengeospatial.orgSep 13, 2016 Denver, CO

OGC®

Structure of the Talk

• Problem• Standards• Challenges

© 2016 Open Geospatial Consortium

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Where is Katrina Going?

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Prediction: 1 day before first landing (Aug 24 , 2005)

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Where is Katrina Going?

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1st landing Keating Beach

Hurricane status

85 mph

Seems it is going to FloridaPanhandle

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Where is Katrina Going?

© 2016 Open Geospatial Consortium

Moved to the Louisiana coast

Hit Bay St. Louis, Aug 29, 2005 as Category 3

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Who was involved?

• Computer Scientist• Web Graphic Designers• Geospatial Analysts• Coastal Inundation Scientist• Atmospheric Scientist• Emergency Responders• ...

© 2016 Open Geospatial Consortium

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Distributed Coastal Laboratory (2009)

A cyber-enabled virtual organization of scientists, sensor networks, forecast models, and computing resources to advance understanding of coastal phenomena and enable transformational science

© 2016 Open Geospatial Consortium

OGC®

1. NHC produces advisory

2. UF produces

winds

5. LSU and TAMU

archive the data

4. Data is catalogued

at UAH

6. OpenIOOS displays

data

3. RENCI, BIO, VIMS, UF run

coastal models

Coordinated community with

agreed agreementson formats and

interfaces

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Zhao, Peisheng December 31, 2010IGI Global

OGC®10

Web Map Service

Web Coverage Service (netCDF)

WebFeature Service (GML)

Sensor Observation Service

Catalog Services for the Web

OGC Stan

dards

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Open Geospatial Consortium

534 volunteer organizations

6905 portal users

More than 60 standards

OGC®© 2016 Open Geospatial Consortium

OGC Standards

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Domain Working Groups

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Tests and certifications

Currently851 implementations203 compliant products

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Trends

• Big Data• Cloud Computing• Crowdsourcing• Internet of Things• ..

© 2016 Open Geospatial Consortium

OGC®© 2016 Open Geospatial Consortium

Earth Science Data Analytics

• Process of examining, preparing, reducing, and analyzing large amounts of spatial (multi-dimensional), temporal, or spectral data encompassing a variety of data types to uncover patterns, correlations and other information, to better understand our Earth.

• This encompasses: – Data Preparation – Preparing heterogeneous data so that they can be jointly

analyzed– Data Reduction – Correcting, ordering and simplifying data in support of

analytic objectives– Data Analysis – Applying techniques/methods to derive results

Source: Earth Science Information Partners (ESIP), July 2016

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Current Challenges

1. Supporting rich queries and processes 2. Enable semantic Interoperability3. Advance use of standards for big data and cloud

environments to support geospatial analysis and scientific communities

© 2016 Open Geospatial Consortium

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Supporting Rich Queries

© 2016 Open Geospatial Consortium

Get me dry places in Australia that have beenalways dry on the last 10 years.

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WMS Queryhttp://myserver/wms?

VERSION=1.3.0&REQUEST=GetMap&SERVICE=WMS&LAYERS=Dry & STYLES=&CRS=..&BBOX=…&WIDTH=400&HEIGHT=300&FORMAT=image/png&BGCOLOR=0xffffff&TRANSPARENT=TRUE

© 2016 Open Geospatial Consortium

OGC®© 2016 Open Geospatial Consortium

WFS Queryhttp://myserver/wfs?

SERVICE=WFS&REQUEST=GetFeature&VERSION=1.1.0&

typeName=wet_dry_areas& FILTER= <Filter

xmlns="http://www.opengis.net/ogc"> <PropertyIsLike> <PropertyName>ss_cat</PropertyName> <Literal>Dry</Literal>

</ PropertyIsLike > </Filter>

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Query - Resource Oriented

© 2016 Open Geospatial Consortium

HTTP/1.1 200 OK  Content-Type: application/hal+json

  {    "_links": {      “self": { "href": "/dry" },      “map”: { "href": ”dry/map" },      “vector”: { "href": ”dry/vector" }    },    “area_sq_km”: 1,400,000,    “description”: “Dry places in Australia for the last 10 years“  }

GET /dry HTTP/1.1Host: geos-australia.orgAccept: application/hal+json

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OGC Advancing REST

© 2016 Open Geospatial Consortium

The purpose of the RESTful Service Policy Standard Working Group is to create requirements, recommendations and examples for the creation of OGC standards for RESTful Web Services. The result of this work will be formalized in a Policy Standard for the structure and content of the implementation of geospatial standards embodying a uniform approach to RESTful principles

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OGC Advancing REST

© 2016 Open Geospatial Consortium

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Semantic Issue

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5.2 oz of cinnamon porridge

+149.4 gr of sweet

oatmeal= ?

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Two services via WFS using their own model

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Conflation

Target Dataset

Source Dataset

Extract similar features (geometries and location)

Resolve attribute similarity

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TESTBED 10

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Testbed 11 – Semantic Enablement of Social Data

© 2016 Open Geospatial Consortium

Social MediaAPIsSilos

GeoSPARQL Linked Data REST API

Web AccessLayer

Human-orientedClients

. . .

OGC Interfaces for Social MediaSocial Media Analysis WPS

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Big Geo Data

© 2016 Open Geospatial Consortium

High Velocity Ingest

Geospatial Databases

Spatial Modeling

ObservationSources

Users and consuming

apps

GeoAnalytics, Machine Learning

Entity-oriented Spatial-temporal

analytics

Grid-oriented Spatial-temporal

analytics

Feature Fusion

Remote sensed data processing

Machine Learning

Array databases

NoSQLdatabases

Graphdatabases

Built environment

models

Integrated environmental

models

Modeling and simulation

IoT Message Streaming

Social Media Message

Processing

ETL Stream processing using

RDF

Wide Area Motion Imagery

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Classification Service

© 2016 Open Geospatial Consortium

OGC Testbed 10 – Cloud Computing

OGC®© 2016 Open Geospatial Consortium OGC Testbed 13 (2016-17)

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Location Powers: Big Data

• Tuesday 20th September• Orlando, Florida

© 2016 Open Geospatial Consortium

#LPBigData

http://www.opengeospatial.org/event/1609tc

http://www.locationpowers.net/

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Take Home Message

© 2016 Open Geospatial Consortium

Agreements (standards) help solve complex problems across communities

Technology is advancingUser can do more queriesLet’s make them simpler

Let’s advance further semantic interoperability solutions

Let’s advance Big Data/ Cloud geospatial analytics architectures using open standards

OGC®© 2016 Open Geospatial Consortium

The Open Geospatial Consortium

Open Geospatial Consortiumwww.opengeospatial.org

OGC Standards - freely available www.opengeospatial.org/standards

OGC on YouTubehttp://www.youtube.com/user/ogcvideo

Luis Bermudez@berdez

lbermudez@opengeospatial.org