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EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Port ugal 1 Lessons learned from disaggregating population data by using different data sources. Radoslaw Jablonski Central Statistical Office of Poland [email protected]

Lessons learned from disaggregating population data by using different data sources

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Lessons learned from disaggregating population data by using different data sources. Radoslaw Jablonski Central Statistical Office of Poland [email protected]. Agenda. Aim of the project Data types used in project Test area Review of used method for solving the disaggregation problem - PowerPoint PPT Presentation

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Page 1: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal1

Lessons learned from disaggregating population data by

using different data sources.

Radoslaw Jablonski

Central Statistical Office of [email protected]

Page 2: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal2

Agenda

• Aim of the project

• Data types used in project

• Test area

• Review of used method for solving the disaggregation problem

• Conclusions

Page 3: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal3

Aim of the project

Aggregate demographic data using the top-down approach for the entire country.

Deaggregate demographic data using the bottom-up approach for the entire coutry.

Page 4: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal4

Data types used in project.

1) Bottom-up method:

• Address points data set with population form Census 2011.

• Grid data set series 1x1km (GRID_ETRS89_LAEA_1K)

2) Top-down method:

• Enumeration area districts with population from Census 2011.

• High resolution soil sealing layer for the year 2006.

Page 5: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal5

Test areaSubregion Piotrkowski was

chosen for testing the bottom-up and top-down method .

Municipalities:• Cities – (4)• Rural communes – (42)• Urban section in a rural-

urban commune – (7)• Rural section in a rural-

urban commune – (7)

Page 6: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal6

Page 7: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal7

Top-down method - assumption

1. Using the smallest statistical regions in order to minimize error of the spatial distribution.

Page 8: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal8

Top-down method - assumption

2. Using the SSL to increase the accuracy of address points distribution.

Page 9: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal9

Page 10: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal10

Top-down and bottom-up methods – in details

Page 11: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal11

Page 12: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal12

What can we do, in terms of Grid, to avoid ‘holes’ in the population?

• We can at best spread a population equally from over one or multiple districts, which are contain in a grid cel.

• SSL will not be treated as the only determinant of population assignment for grid but may be at best used as a „weight”.

Page 13: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal13

Quality indicator - verifying the accuracy of the estimating population method.

Having a set of reference data (the actual population from points of the address assigned for 1km grid squares) we can determine the error of tested top-down method.

quality indicator = absolute value(An – Bn)/max(An,Bn)

where:An - the value of the population in the n-th grid cell reference set od data A (bottom-up method)Bn - the value of the population in the n-th grid cell with the values of the calculated B (top-down method)

Page 14: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal14

Page 15: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal15

Conclusions!

CLC data can be usefull as a main factor in determination less populated area. This factor helps you reduce noise in: rural communes and rural section in a rural-urban commune.

In this way will allow us to achieve better results in the calculation of the estimated values.

Page 16: Lessons learned  from disaggregating population data by using different data sources

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal16

Thank you for your attention.

Radoslaw Jablonski

Central Statistical Office of [email protected]