Michel Grothe
Consultant
Geonovum
Netherland

Biography
Michel Grothe (1965) has a Masters degree (MSc.) in Spatial Planning at the Radboud University Nijmegen and holds a Doctors degree (PhD) in Spatial Computer Science and Regional Economics at the Free University Amsterdam. In 2007 he joined Geonovum, the Executive Committee for Spatial Data Infrastructures in the Netherlands. As such, he is working on the national implementation of INSPIRE. He was member of the INSPIRE drafting team Network Services and is representing the Netherlands in the INSPIRE MIG-T. Furthermore, is Michel is community manager of Making Sense for Society, a Living Lab for the Internet of Things and Smart Cities in the Netherlands.

Abstract
Mapping European Health Statistics with CASPER using Table Joining Services

Co-Author: Tomaz Zagar, Geodetic Institute of Slovenia

Human health analysis starts with the availability of geographical distribution of dominance of pathologies, like allergies, cancers, respiratory diseases, etc. For this purpose health data is linked to administrative and/or statistical units. These reference datasets are offered by the NMCAs and health statistics data often is collected and offered by national, regional en local agencies and pan-European authorities. In the European Location Framework project (E.L.F.) we have implemented a standardised Table Joining Service (OGC TJS) to automatically join health statistics data tables to administrative units. The most widely applicable use of TJS may be to support web mapping and download services (like the INSPIRE View and Download service), in particular the dynamic creation of Web Map Service (WMS) and Web feature service (WFS) layers. In this way the TJS can be considered a web service (component) that can be invoked by the application to analyze and visualize health statistics in an efficient way. The availability of the E.L.F. platform is expected to eliminate the current time-consuming operations to connect the two types of data (spatial reference data and health statistics data) needed for European health analysis. The work will build on the CASPER application, an interactive web client for health information, which today is improving the effectiveness of human health analysis and decision-making. And with the CASPER application health information is provided to European users, improving the effectiveness of human health analysis and decision-making. By implementing this health service instance, the E.L.F. platform will provide an consistent and open way for users across Europe to assess the human health data. European citizens, companies, academics and government authorities will all benefit. In this presentation we will outline the implementation of the TJS for health statistics. Also technical aspects of consuming the TJS is offered and the case for European health statistics data is shown.