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Table Joining Service GISCO, March 18th 2014
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Table Joining Service (TJS)
Geoservices 2
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Introduction TJS study INSPIRE Results TJS study 2013 ELF and TJS
Agenda Introduction TJS study INSPIRE Results TJS study 2013 ELF and TJS Implementation Functionality Conclusions (so far) Introduction of Table Joining Services 3
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INSPIRE themes without geometry Eurostat grant
Introduction TJS Incentives Lacking standardized framework for linking statistics to a location between and within organizations INSPIRE themes without geometry Eurostat grant Introduction of Table Joining Services 4
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2. INSPIRE Introduction of Table Joining Services
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) Introduction of Table Joining Services 5 5
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3. Results TJS study 2013 Conclusions: Few implementations exist
Great potential for integration with other OGC SDI’s like INSPIRE Positive Business case NL Introduction of Table Joining Services 6
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3. Results TJS study 2013 Recommendations:
Test in real world case study Establish a spatial identifier framework Refine the TCO model Download study: search for TJS Introduction of Table Joining Services 7
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4. ELF and TJS Introduction of Table Joining Services 8
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Health application project
4. ELF and TJS Health application project Health statistics application (WP7) Eurostat health data tables (SDMX) and Euroboundary map Implementation TJS by Geonovum/Kadaster: server side Geoserver open source software E.L.F. Services platform OSKARI (NLS Finland) Implementation TJS in client KASPeR by Geodetic Institute of Slovenia Introduction of Table Joining Services 9
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Health statistics for E.L.F.
Tabulaire data: Eurostat’s health statistics (>300 tables) TJS E.L.F. project Health statistics application Spatial data: EuroboundaryMap
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Health statistics for E.L.F.
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5. Implementations of TJS Geoclip client
Introduction of Table Joining Services 12
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5. Implementations of TJS TJS demo Geonovum/Kadaster
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5. Implementations of TJS
KASPeR
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6. Functionality First thoughts: Input: SDMX, XLS, CSV
Output: WMS, WFS, Geojson, RDF How to deal with n:m relations How to deal with the time dimension Different classification and styles Suggestion of the key fields How temporal is the output What does INSPIRE need? Etc… Introduction of Table Joining Services 15
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7. Conclusions Positive Business case for NL
No broad implementation of TJS exist but hopefully ELF will change this. Work to do: Define functionality Search for hosting organisation Stimulate more implementations Define spatial identifier framework Introduction of Table Joining Services 16
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