Slide 1

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


Slide 2

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


Slide 3

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


Slide 4

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


Slide 5

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


Slide 6

5. Contents
• Bottom-up approaches (aggregation)
– Nordic Grids
– Grid Club or the Grid Challenge

• Top-down (disaggregation)
– Gisco (The Albrecht Wirthman map)


Slide 7

6. Socioeconomic Information
• SocioCultural objects
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–
–
–

Features
Parameters
Rules
Methods

• Economic variable
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–
–
–

Features
Parameters
Rules
Methods


Slide 8

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


Slide 9

8. Methods for clustering
• Delineations
– Urban (structural) Areas (Morphologies)
• Urban structure types

– Urban (functional) Areas (Land Use)
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•
•
•
•

Residential areas
Areas for work (Business and industry)
Areas for Public acess.
Recreation areas (Blue & green)
Infrastructure

• Mulitilayer analysis
– Urban functional analysis etc.


Slide 10

9. Critical Issues
• Disclosure Problems
– Threshholds

• Stigmatisation Problems
– Senitive variables


Slide 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)


Slide 12

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)


Slide 13

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


Slide 14

Thank you!
[email protected]