Conclusions & Thoughts on The Future of Geo-Statistics

Conclusions&Thoughts onThe Future of Geo-Statistics Lars H. Backer

1. User needs • Inductive method • For methods to change the world. • TUse these methods to define user needs • Deductive method • For methods to describe & model the world • Use these methods to decribe the world

2. The demand • Useful information for sustainable development • MES (Man-Environmental Systems) • Physical System properties • Environmental policies • Policies for Spatial deveopment (Physical Urban & Regional Planning) • Non physical System properties • To describe and explain socio-cultural clusters • To describe and explain economic clusters

3. Datasets • Two types of end uses • Small Area Statistics for professional use • Programs • Plans • Projects • Large Area Statistics for reporting • Two types of datasets • Day-time population • Night-time population

4. Statistical Areas • Regular Tesselations (point-based statistics) • National Grid systems (Lattices or Grids) • European Grid System (Lattices or grids) • Irregular Tessellations (area-based statistics) • Census areas • Ennumeration areas

5. Contents • Bottom-up approaches (aggregation) • Nordic Grids • Grid Club or the Grid Challenge • Top-down (disaggregation) • Gisco (The Albrecht Wirthman map)

6. Socioeconomic Information • SocioCultural objects • Features • Parameters • Rules • Methods • Economic variable • Features • Parameters • Rules • Methods

7. Methods to improve data • Analyse Bottom-up method • Harmonisation issues • Threshhold effects • Analyse Top-down method • Disaggregation alogrithms • Reference data (topographic maps etc.) • Analyse difference (overlay) • Bottom-up datasets closer to reality • Data may be used to calibrate methods

8. Methods for clustering • Delineations • Urban (structural) Areas (Morphologies) • Urban structure types • Urban (functional) Areas (Land Use) • Residential areas • Areas for work (Business and industry) • Areas for Public acess. • Recreation areas (Blue & green) • Infrastructure • Mulitilayer analysis • Urban functional analysis etc.

9. Critical Issues • Disclosure Problems • Threshholds • Stigmatisation Problems • Senitive variables

10. Publication, Dissemination • Network Seminars • Organise Grid Club Seminars • Reference litterature and publication services • Professional Bibliography and acess to pdf files • Possibility to publish papers for the Grid Club • EU contacts • Alessandro Annioni (Ispra) • Daniele Rizzi (Gisco) • Hans Dufourmont (Inspire) • Albrecht Wirthman (Gisco)

12. Relations • Partners • Cooperation with mapping agencies (NMA’s) • Consolidation within statistical institutes NSI’s • Professional Reference: • Academia? • Customer Relations • Define User communities • Contacts • Eurostat/Gisco (Daniele Rizzi) • JRC,Ispra (Alessandro Annnioni) • Inspire (Hans Dufourmont)

11. The Grid Club • Denmark • Finland • Norway • Switzerland • Estonia • Netherlands • Austria • Sweden

Thank you! lars.backer@scb.se

Conclusions & Thoughts on The Future of Geo-Statistics