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Merging statistics and geospatial information Grants 2012

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Presentation on theme: "Merging statistics and geospatial information Grants 2012"— Presentation transcript:

1 Merging statistics and geospatial information Grants 2012

2 Expected results: Studies on the spatial distribution of statistical phenomena and the inherited causes Projects to derive new statistical data by combining existing data and geographical information. Improved data management processes whereby geoportals are connected to statistical databases Interactive map applications allowing users to delineate output areas for statistics and to illustrate the spatial dimension of statistics Projects that involve third party providers of official geoinformation such as mapping agencies are particularly welcome. Also projects using the GEOSTAT population grid dataset as a starting point are in the focus of Eurostat.

3 Different processing steps covered:
Georeferencing data (e.g. business registers, address data) Connecting geodata and statistical data Locally Internet (OGC TJS) (standardized web service interface for automatic joining of attribute data (e.g. statistical data) to geometry (administrative boundaries, postcodes, statistical units) through distributed access) Dissemination (linked data): from products to data Visualisation techniques (e.g. commuting, health data, cross boarder) Grid approach & Data analysis (Indicators: density, spatial planning, health data)

4 Microdata in the field of economic and social statistics
CENSUS DATABASE (DB) SHAPEFILE A) One census block code : 1 One shapefile code √ (most of the cases) B) Many census block codes M √ (fewer cases) C) One census block code : N Many shapefile codes Ambiguous processing, few cases D) Many census block codes M Ambiguous processing, few cases BR and its satellite and supplementary registers Social institutions Business Register Local units of businesses LKAU of social institutions Health Service units Non-profit institutions Legal units with agricultural activity and individual farms LKAU-s for retail trade Address Directory Settlement Register System of geoinformation Address Register Microdata in the field of economic and social statistics Microdata in the field of population statistics

5 Lessons learned / Challenges
Confidentiality TJS: business case Maintenance of registers Cooperation with other institutions, countries INSPIRE compliance  Exchange of experience

6 Reuse Best practice Business models Software developments
URI patterns, changing URIs Identifiers for changing geographic units Visualisation techniques Business models Software developments TJS experience & …


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