1. Implementation of OGC Table Joining Service and health statistics Michel Grothe INSPIRE MIG-T meeting 12 March 2015

2. Agenda 1.INSPIRE and TJS 2.Introduction OGC Table Joining Service (OGC TJS) 3.Some background information about OGC TJS 4.The implementation: E.L.F. Regional Health statistics 5.Conclusions 6.Discussion: TJS, an INSPIRE download service?

3. 2. INSPIRE and TJS Source: Annex D of Statistical Units data specification Statistical data is linked to statitical units by referencing

4. 2. INSPIRE and TJS Source: Annex D of Statistical Units data specification Object referencing through InspireId, thematic identifiers or unit’s codes

5. 2. INSPIRE and TJS Building bridges between statistical and spatial data infrastructures Source: Annex D of Statistical Units data specification

6. 2. INSPIRE and TJS The incentive for TJS Source: Annex D of Statistical Units data specification

7. 1. INSPIRE and TJS INSPIRE themes with statistical (tabular) data Statistical INSPIRE themes Attribute data Population distribution/demography (PD) Human health and safety (HH) Energy resources (ER) Statistical INSPIRE themes Geographic data Statistical Units (SU) Administrative Units (AU)

8. 2. Introduction OGC Table Joining Service tabular data boundary data

9. Tabellen joinen met gebiedsindelingen tabular data boundary data TJS 2. Introduction OGC Table Joining Service

10. OGC TJS offers an standardized web service interface for automatic joining of attribute data (e.g. statistical data) to geometry (administrative boundaries, postcodes, statistical units, etc.) through distributed access. 2. Introduction OGC Table Joining Service

11. OGC TJS operations 2. Introduction OGC Table Joining Service

12. Client application and TJS operations tabular data boundary data 2. Introduction OGC Table Joining Service

13. Table joining (service) and unique id’s (keys) tabular data boundary data OGC TJS Unique id’s (keys) 2. Introduction OGC Table Joining Service

14. TJS and the Geographic Data Attribute Set (GDAS) format tabular data boundary data data transformation Geo data OGC TJS 2. Introduction OGC Table Joining Service

15. A typical client and TJS interaction diagram 2. Introduction OGC Table Joining Service

16. 3. Some background info about the OGC TJS TJS research study 2013 To examine the potential of the implementing Table Joining Service concept (OGC TJS) and examine : 1.the concept and functional possibilities 2.the existing implementations and applications, 3.roles and tasks and cost-benefits for organizations that might implement TJS Statistics Netherlands with Grant of Eurostat Research study document for download.download

17. 3. Some background info about the OGC TJS TJS implemenation and availiable software products No broad implementations of OGC TJS exist  Software implementations are lacking (server side)  Almost no clients that can interact with TJS  Only in France and Canada we found operational implementations so far

18. 3. Some background info about the OGC TJS No OGC reference implementation

19. 4. The implementation for health statistics E.L.F. European Location Framework 19 http://www.elfproject.eu/

20. 4. The implementation for health statistics

21. Eurostat’s regional health statistics Euroboundarymap of Eurogeographics Implementation TJS (server side and open source software) by Geonovum/Kadaster NL Implementation client CASPER by Geodetic Institute of Slovenia Planned implementation of Oskari client by Finish Geodetic institute Oskari platform offered by Finish Geodetic institute 4. The implementation for health statistics EU regional health statistics application (E.L.F. demonstrator)

22. 4. The implementation for health statistics Eurostat’s health statistics (>300 tables) TJS EuroboundaryMap 4. Intro gezondheidsstatistieken app (E.L.F.) Case regional health statisticsEurostat’s health statistics (>300 tables)

23. Regional health statistics at EUROSTAT (>300 tables) 4. The implementation for health statistics

24. Input and output formats of TJS 4. The implementation for health statistics

25. CASPER Client 4. The implementation for health statistics

26. Architecture final deployment 4. The implementation for health statistics

27. TJS tabular data transformation tool GDAS Transformation tool Input standards: SDMX Odata - Open Data Protocol CSV Open source project. Code public available on GitHub: https://github.com/thijsbrentjens/geoserver/tree/tjs_2.2.x/ 4. The implementation for health statistics

28. GeoServer TJS community extension Open source project: GeoServer TJS extension Thanks to (improved) WMS and added WFS output by Code public available on GitHub: https://github.com/thijsbrentjens/geoserver/tree/tjs_2.2.x/ 4. The implementation for health statistics

29. Upcoming final work (delivery autumn 2015) 1.Testing CASPER client connection to all Eurostat regional health statistics tables 2.And testing stability of the TJS 3.Better integration of data transformation tool into Geoserver for easier deployment 4.Final deployment at the E.L.F. OSKARI platform 5.Finish technical documentation 4. The implementation for health statistics

30. 5. Conclusions (so far) OGC TJS is potentially interesting! Esp. in case of large number tabular datasets and/or frequently updated tabular datasets. BUT … No broad implementations of OGC TJS exist Tabular data transformations are needed. Geoserver implementation has only implemented GDAS. We need further experiences, investments and broader implementation to further explore the benefits!

31. TJS, an INSPIRE download service? 6. Discussion

32. Questions? More info: http://www.geonovum.nl/onderwerpen/services/table-joining-services m.grothe@geonovum.nl | www.geonovum.nl | @geonovum Thank you for your attention!