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Geospatial Data and Key Characteristics of Geospatial Data Analysis and Science


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The growing complexity and interdisciplinarity of research and applied science questions requires the developments of standards to exchange data within continuously growing communities as well as across domains. In most domains, geo-spatial data is the fundamental base layer for data science and analysis, as the vast majority have some spatial characteristics or apply to elements in space. Using the available standards, a good level of interoperability can already be realized. Nevertheless, the increasing complexity of research questions, the growing number of available data, and the increasing range of data providers, ranging from citizen scientists to fully automated sensor networks making their data directly available at the Internet, require even richer models that need to be developed to enhance the level of interoperability.

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Geospatial Data and Key Characteristics of Geospatial Data Analysis and Science

  1. 1. ® Geospatial Data and Key Characteristics of Geospatial Data Analysis and Science: The Way Forward Luis Bermudez, Ingo Simonis Open Geospatial Consortium Sep 13, 2016 Denver, CO © 2016 Open Geospatial Consortium
  2. 2. OGC® Structure of the Talk • Problem • Standards • Challenges © 2016 Open Geospatial Consortium
  3. 3. OGC® Where is Katrina Going? © 2016 Open Geospatial Consortium Prediction: 1 day before first landing (Aug 24 , 2005)
  4. 4. OGC® Where is Katrina Going? © 2016 Open Geospatial Consortium 1st landing Keating Beach Hurricane status 85 mph Seems it is going to Florida Panhandle
  5. 5. OGC® Where is Katrina Going? © 2016 Open Geospatial Consortium Moved to the Louisiana coast Hit Bay St. Louis, Aug 29, 2005 as Category 3
  6. 6. OGC® Who was involved? • Computer Scientist • Web Graphic Designers • Geospatial Analysts • Coastal Inundation Scientist • Atmospheric Scientist • Emergency Responders • ... © 2016 Open Geospatial Consortium
  7. 7. OGC® 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
  8. 8. 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 agreements on formats and interfaces
  9. 9. OGC® Zhao, Peisheng December 31, 2010 IGI Global
  10. 10. OGC® 10 Web Map Service Web Coverage Service (netCDF) Web Feature Service (GML) Sensor Observation Service Catalog Services for the Web
  11. 11. OGC® Open Geospatial Consortium 534 volunteer organizations 6905 portal users More than 60 standards
  12. 12. OGC® © 2016 Open Geospatial Consortium
  13. 13. OGC® © 2016 Open Geospatial Consortium
  14. 14. OGC® Tests and certifications Currently 851 implementations 203 compliant products
  15. 15. OGC® Trends • Big Data • Cloud Computing • Crowdsourcing • Internet of Things • .. © 2016 Open Geospatial Consortium
  16. 16. OGC® 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 © 2016 Open Geospatial Consortium Source: Earth Science Information Partners (ESIP), July 2016
  17. 17. OGC® Current Challenges 1. Supporting rich queries and processes 2. Enable semantic Interoperability 3. Advance use of standards for big data and cloud environments to support geospatial analysis and scientific communities © 2016 Open Geospatial Consortium
  18. 18. OGC® Supporting Rich Queries © 2016 Open Geospatial Consortium Get me dry places in Australia that have been always dry on the last 10 years.
  19. 19. OGC® WMS Query http://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
  20. 20. OGC® © 2016 Open Geospatial Consortium WFS Query http://myserver/wfs? SERVICE=WFS& REQUEST=GetFeature&VERSION=1.1.0& typeName=wet_dry_areas& FILTER= <Filter xmlns=""> <PropertyIsLike> <PropertyName>ss_cat</PropertyName> <Literal>Dry</Literal> </ PropertyIsLike > </Filter>
  21. 21. OGC® 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/1.1 Host: Accept: application/hal+json
  22. 22. OGC® 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
  23. 23. OGC® OGC Advancing REST © 2016 Open Geospatial Consortium
  24. 24. OGC® Semantic Issue © 2016 Open Geospatial Consortium 5.2 oz of cinnamon porridge + 149.4 gr of sweet oatmeal = ?
  25. 25. OGC® Two services via WFS using their own model © 2016 Open Geospatial Consortium
  26. 26. OGC® Conflation Target Dataset Source Dataset Extract similar features (geometries and location) Resolve attribute similarity
  27. 27. OGC® TESTBED 10
  28. 28. OGC® Testbed 11 – Semantic Enablement of Social Data © 2016 Open Geospatial Consortium Social Media APIs Silos GeoSPARQL Linked Data REST API Web Access Layer Human- oriented Clients . . . OGC Interfaces for Social Media Social Media Analysis WPS
  29. 29. OGC® Big Geo Data © 2016 Open Geospatial Consortium High Velocity Ingest Geospatial Databases Spatial Modeling Observation Sources 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 NoSQL databases Graph databases 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
  30. 30. OGC® Classification Service © 2016 Open Geospatial Consortium OGC Testbed 10 – Cloud Computing
  31. 31. OGC® © 2016 Open Geospatial Consortium
  32. 32. OGC® Location Powers: Big Data • Tuesday 20th September • Orlando, Florida © 2016 Open Geospatial Consortium #LPBigData
  33. 33. OGC® Take Home Message © 2016 Open Geospatial Consortium Agreements (standards) help solve complex problems across communities Technology is advancing User can do more queries Let’s make them simpler Let’s advance further semantic interoperability solutions Let’s advance Big Data/ Cloud geospatial analytics architectures using open standards
  34. 34. OGC® The Open Geospatial Consortium © 2016 Open Geospatial Consortium Open Geospatial Consortium OGC Standards - freely available OGC on YouTube Luis Bermudez @berdez