1. Merging national population grids (bottom-up approach) into a European dataset
Meeting of the Working Party
"Geographical Information Systems for Statistics"
Luxembourg, March 15-16, 2007
Rina Tammisto
Statistics Finland, Population Statistics

2. Topics 1) Producing grid data The Finnish data set
2) The Grid data sets compiled for the posters
The Nordic data set, The European data set
Dissimilarities in the grid data
3) Harmonization challenge
Population Statistics

3. 1) Producing grid data “The Bottom-up method”
Register based population data
The method is based on aggregation of single-unit attribute data
Point base data - the location of the point is known
The spatial grid net - grid data from statistical data to actual spatial data
Population Statistics

4. Attribute data from several registers
Population register
Taxation register
Register of degrees and curricula
Pension registers
Employment register
Business register
Register of vechiles
Register of buildings and dwellings
Statistical data
Population
Households and families
Employment and workplaces
Buildings and housing
Population Statistics

5. Grid data production environment
Data warehouse
ArcGIS
( )
database; SQL Server database
data compiling; by SAS or SQL Server Enterprise Manager
spatiality; ESRI ArcSDE
( )
Population Statistics

6. Data producing process - from points to grids
Co-ordinates - attribute data of buildings
Joining - population to buildings
Data selection - by the attribute data of population
IDs of grids - data is aggregated in grid squares
A reference point - the lower left corner of the grid cell
Data security - if needed
Aggregated data is stored
Data and the grid net are joined
Editing the table structure
Checks
Population Statistics

7. 2) The Grid data sets compiled for the posters
The Nordic Grid poster
First poster 1997: Finland and Sweden, Norway 2003, Denmark 2004
The European Grid poster 2006
the four Nordic countries + Austria, Estonia, the Netherlands and Switzerland
Data has been compiled by Statistics Finland since 2004
Population Statistics

8. Dissimilarities in the grid data
General comparison of the Nordic data has been done (2003, 2005)
dissemination
prices
co-ordinate systems
disclosure control
No comparison done concerning producing processes, the quality and characteristics of spatiality
Population Statistics

9. 2 the middle points of real estates - Sweden, Estonia (rural) x X
Dissimilarities concerning the European grid data set: x x 1 2
The reference point of the data 13
Työpajankatu 3
1 the middlepoint of buildings - Finland, Austria, Estonia (urban), Switzerland
2 the middle points of real estates - Sweden, Estonia (rural)
3 addresses - Denmark, Norway, the Netherlands
Population Statistics

10. Dissimilarities concerning the European grid data set:
1) Date, updating frequency
2) Population without spatial information (indirect spatiality)
3) Land area, glaciers, mountain areas
4) The effects of data security on the comparison of data
Population Statistics

11. Population Statistics

12. 3) Harmonization challenges I
A) Essential:
The European Grid Net
origo, co-ordinate system, uniform ID-numbers
Comparable figures from the unprotected data
Describing the core definitions uniformly
total land area (-->population density information)
population in the grid squares - covers the special population groups without co-ordinates (e.g. pop. living in nursing institutions)
Describing the prosesses uniformly
Population Statistics

13. EULIS, European Land Information Service
Harmonization and standardization
Quality labeling
Standardization of services
A framework for standardization
- Land transactions and registration process methodogy of e.g. SADT Structure Analysis and Design Technics
Source: Esa Tiainen, National Land Survey of Finland
Population Statistics

14. Describing the grid producing processes
National practises ect., described in a predefined way on predefined forms
-->unified prosess flow charts
F I N L A N D
Population
Register Centre
Municipality authrity
Workflow
Phases
Organisations and authorities involved
Responsibilities, priorities, rights, obligations
Population Statistics

15. Organisations and authorities involved
Country 1
Country 2
Workflow
Phases
Organisations and authorities involved
Responsibilities, priorities, rights, obligations
Similarities
Differences
Population Statistics

16. Harmonization challenges II
B) Useful to know: ways to produce, handle, store and deliver grid data
Essential? or even possible parts, because of the differences in infrastructures at national levels
Data compiling
Data updating frequency
Classifications
Population Statistics

17. Drawing the limit on what to harmonize -> any consequenses at 1 km grid level?
Significance of these national differences depends on the final use of the data
Population Statistics

18. Conclusions The need of a joint project for
definition work (standardization work)
describing work, e.g. the need of a proper descriptions of the national producing processes
Role of Eurostat?
support the standardizing work
give tools
ect.
Population Statistics

19. C8
Estimated
Population Statistics

20. Thank you for your attention !
Population Statistics