In the context of the Online INSPIRE Conference 2020, ELISE is organising a workshop titled "Statistics and geospatial information – on a common path towards sustainability and digitalization" on the 8th of June 2020 at 09h. The workshop will present and discuss the current state of play and perspectives of statistics and geospatial intelligence both at national and European level including EU Gazetteer Evaluation Project conducted under the ELISE action.
The session will be part of the sharing the knowledge developed in the National Statistical Institutes (NSI) and National Mapping Agencies (NMA) towards stronger implementation of geographical information together with statistical applications.
Workshop presentations will be across several themes – from the national to the European perspective, from National statistical institutes up to Eurostat.
By the end the attendances should have a good overview of the current state of play of Statistics and GI, especially on the future usage of SDMX and be able to approach the respective organisations.
Additionally, a set of issues (lessons learned) will be identified and can be used as guidance for future developments in the European NSIs and NMAs.
Know more ELISE events at the INSPIRE conference here.
Details
- Pier-Giorgio Zaccheddu UNGGIM:Europe Work Group on Data Integration – Status and Outlook (10’+2’)
- Matthias Till; Sibylle Saul; Ingrid Kaminger; Johannes Gussenbauer; Kowarik Alexander; Glaser Thomas;Alexandra Wegscheider-Pichler LEARN4SDGis–A Machine Learning based Poverty Mapping Exercise in Austria (10’+2’)
- Vlado Cetl; Simon Vrečar; Hannes Reuter; Raymond Boguslawski ELISE EU gazetteer evaluation project (10’+2’)
- Pieter Bresters INSPIRE Implementation for Population Distribution and Human Health (10’+2’)
- Hannes Reuter, Vlado Cetl, Mirosław Migacz, Pieter Bresters SDMX as a good practice for statisticaldata sharing under INSPIRE (10’+2’)
- Kathi Schleidt, Hylke van den Schaaf, Alex Kotsev: API4INSPIRE - an alternative API based approach for Spatial Population Data
- Discussion (10’)