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Thoughts on The Future of Geo-Statistics

Thoughts on The Future of Geo-Statistics. Lars H. Backer. 1. Assessing 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

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Thoughts on The Future of Geo-Statistics

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  1. Thoughts onThe Future of Geo-Statistics Lars H. Backer

  2. 1. Assessing 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 • Two types of end uses • Small Area Statistics for professional use • Programs • Plans • Projects • Large Area Statistics for reporting to goverment

  3. 2. Assessing 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

  4. 3. Statistical Areas • The Tandem approach • 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. 4. Contents • Bottom-up approaches (aggregation) • Nordic Grids • Grid Club or the Grid Challenge • Top-down (disaggregation) • Gisco (The Albrecht Wirthman map)

  6. 5. Datasets, variables • Focus on Socio-Economic data • First Phase • Day-time population • Open the field for sociocultural and demographic analysis • Second Phase • Night-time population • Open the field for economic analysis

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

  8. 7. 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. 8. 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

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

  11. 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. 11. From the Nordic Forum to The Grid Club • Task • To compile and harmonise a demographic GIS layer for the whole of Europe and some associated countries containing the total population aggregated to km grids. • To explore practical appplications baased on this dataset (Delinaetions etc.) • The Grid Club • Denmark • Finland • Norway • Switzerland • Estonia • Netherlands • Austria • Sweden

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

  14. Thank you! lars.backer@scb.se

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