EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) 12-14 October 2011 - Lisbon, Portugal 1 Lessons learned from disaggregating population data by using.

Slides:

Advertisements

Similar presentations

Integrated GMES Project on Landcover and Vegetation geoland Grid based Spatial Disaggregation of Population Data Klaus Steinnocher – ARC systems research.

Advertisements

Urban Statistics serving the evolving European Urban Agenda Presented by Jagdev Virdee Prepaired by Teodora Brandmuller, Eurostat unit E4 IAOS 2014, Da.

BEN ANDERSON PROJECT MANAGER UNIVERSITY OF LOUISVILLE CENTER FOR HAZARDS RESEARCH AND POLICY DEVELOPMENT Using Dasymetric Mapping.

The EFGS 2009 Meeting in Den Haag 5-7 October /05/2015Lars H. Backer1.

Application for presenting census results in the context of statistical data confidentiality in Poland Amelia Wardzińska-Sharif Central Statistical Office.

Global and continental population databases “Supply side view” What has been done Related developments Possible next steps.

GIS System for Enumeration Areas Planning CSB of Latvia in cooperation with State Land Service of Latvia European Forum for Geostatistics 2008 Workshop.

Population Maps of Latin America Glenn Hyman, Andy Nelson, German Lema International Center for Tropical Agriculture Cali, Colombia.

Census 2001 Your window to Census information. What is a Census? The Census of population and housing is undertaken every 5 years by the ABS. It aims.

Presented by Mst. Maksuda Shilpi Deputy Director Bangladesh Bureau of Statistics Bangladesh.

Lisbon, 12th October 2011 Creating 2001 to 2011 population grids using Census Geography Bart-Jan Schoenmakers Department of Methodology and Information.

1 The GEOSTAT project Vilni Verner Holst Bloch MSc. landscape ecology and natural resources Statistics Norway Otervegen 23 N Kongsvinger Tel : ++47.

1 REGIO gis The use of geostatistics for the analysis of Europe’s regions Hugo Poelman European Commission – DG Regional Policy

Spatial data for integrated assessment of urban areas Andrus Meiner European Forum for Geostatistics 12 October 2011, Lisbon.

Igor Kuzma, Statistical Office of the Republic of Slovenia Tomaž Žagar, Geodetic Institute of Slovenia GIS Portal – dissemination of geostatistics

1 Guidelines for production and steps towards harmonisation Marja Tammilehto-Luode Population Statistics Statistics Finland FI Statistics Finland.

USE OF GIS TECHNOLOGY IN STATISTICAL OFFICE OF ESTONIA NORDIC FORUM FOR GEO-STATISTICS , COPENHAGEN Inge Nael HEAD OF GIS SECTION MARKETING.

1 The ESSnet project GEOSTAT 1A/B Vilni Verner Holst Bloch Coordinator of ESSnet project GEOSTAT 1A Statistics Norway Representing Census data in a European.

The 2010 Population and Housing Census of Mongolia: Census PES 1 A.Amarbal Director of Population and Housing Census Bureau, National Statistical Office.

Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 3 Section 2 – Slide 1 of 27 Chapter 3 Section 2 Measures of Dispersion.

Estimation Chapter 8. Estimating µ When σ Is Known.

1 Data capture in production of geostatistics ESTP course on Geographic Information Systems (GIS): Use of GIS for making statistics in a production environment.

CZECH STATISTICAL OFFICE | Na padesátém 81, Prague 10 | czso.cz1/X Ing. Jaroslav Kraus, Ph.D. Mgr. Štěpán Moravec DISAGGREGATION METHODS FOR GEOREFERENCING.

Improving of Household Sample Surveys Data Quality on Base of Statistical Matching Approaches Ganna Tereshchenko Institute for Demography and Social Research,

Poster : Urban and rural areas in Belgium according to the Eurostat revised definition (*) Pierre Jamagne GIS unit Statistics Belgium (*) : developed jointly.

Sharing experience Attribution (by) Licensees may copy, distribute, display and perform the work and make derivative works based on it only if they give.

Characterizing Rural England using GIS Steve Cinderby, Meg Huby, Anne Owen.

Innovations in the population census of the Republic of Belarus 2009: progress and challenges ___________________________________________________________________.

The effect of changing regional classifications on statistical indicators October 2008, Shanghai Dr. Udo Maack Germany SCORUS Conference 2008.

1 Improvement of the Polish data collection system on water and waste water statistics Project co-financed by the European Commission under the Grant Agreement.

European Forum of Geostatistics Bled October Downscaling population density with CORINE Land Cover Warning: This presentation.

Ëëë.instat.gov.al 16 October 2012 WORKSHOP ON MIGRATION STATISTICS Topic 5, “Albanian specific examples of migration survey”

October 2008 The Urban Audit – measuring the attractiveness in European cities Teodóra Brandmüller Eurostat – the statistical office of the European Union.

European population grids, from Models to Official Statistics Ekkehard Petri (Janusz Dygaszewicz)

Regional and urban Policy Combining geography and statistics for an improved analysis of urban phenomena Recent experiences in European Regional and Urban.

1 Metropolitan areas and regions: Trends and scenarios Lewis Dijkstra Deputy Head of the Analysis Unit DG for Regional Policy European Commission.

Environmental Modeling Weighting GIS Layers Weighting GIS Layers.

Unit #2 – Human Geography Population. Demographics statistics based on population related factors such as age, sex, education, etc. Birthrate number of.

CANADA POP. DISTRIBUTION. CENSUS METROPOLITAN AREA (CMA) CENSUS METROPOLITAN AREA: An urban area including all villages, towns, and smaller cities near.

Regional Policy Towards indicators of proximity to services in Europe's major cities Enhancing the analytical use of the GMES Urban Atlas in combination.

PRODUCTION PROCESSES FOR A HARMONISED E UROPEAN POPULATION GRID Marja Tammilehto-Luode Rina Tammisto Statistics Finland October 2012European Forum.

The complexities of publishing gridded data for the UK European Forum for Geostatistics Krakow – October 2014 Ian Coady Geography Policy and Research Manager.

Lessons Learned from the production of Gridded Population of the World Version 4 (GPW4) Columbia University, CIESIN, USA EFGS October 2014.

EFGS 2014 Krakow General assembly The EFGS Executive Team The European Forum for (the Integration of ) Geography and Statistics (EFGS) October The.

Market watch/Business report – Grid statistics Mr. Erik Sommer, EFGS Expert Group for Business Models, Denmark. European Forum for Geostatistics.

Jean-Luc LIPATZ INSEE - France 2007/10 Using gridded census data to analyze socio-spatial structure of french cities Short history of grids in the INSEE.

A growing demand for small area statistics. How to make demand and supply meet? Asta Manninen, Pilar Martin-Guzmán and Derek Bond CESS Budapest, 20 – 21.

Generalisation for statistical thematic maps

Statistical disclosure control on visualising geocoded population data using a structure in quadtrees Eduard Suñé, Cristina Rovira, Daniel Ibáñez, Mireia.

Exploring Global Urbanization Using New Data

Dissemination of Sensitive Variables on a Grid Dataset :

Population and Housing Census of Nepal: History, Lessons learned, and Initial planning for 2021 census Mahesh Kumar Subedi & Prakash Poudyal Central Bureau.

Proximity to airports via the road network

Dissemination of results from 2010/2011 censuses

By Lewis Dijkstra, PhD Deputy Head of the Economic Analysis Unit,

RegIonaL INDICATORS ON RURAL DEVELOPMENT EC-Eurostat Working Group on Regional, Urban and Rural development statistics Eric Gonnard, statistician OECD.

Achievements and plans in GISCO

Spatial data needs in EU Regional Policy

Work Package 2 - Geostatistics Marja Tammilehto-Luode

NOTES 1. PLACE, DATE AND EVENT NAME

Geographical Information Systems for Statistics Mar 2007

Progress report on geospatial information management within the ESS

Working Party on Regional Statistics 1-2 October 2012

Data validation Urban Audit Theory and practice

New release of Statistics Illustrated

The GEOSTAT project Work Package 2 Geostatistics Working Party/Meeting

How geospatial information adds value to existing sub-national data and territorial typologies Valeriya Angelova-Tosheva, Eurostat,

Green urban areas Assessing the proximity of green areas for the population of major cities By Hugo Poelman – Veerle Martens.

Item 9.6 Mainstreaming geo-statistics

Copernicus Urban Atlas: an update

Presentation transcript:

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 1 Lessons learned from disaggregating population data by using different data sources. Radoslaw Jablonski Central Statistical Office of Poland

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 2 Agenda Aim of the project Data types used in project Test area Review of used method for solving the disaggregation problem Conclusions

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 3 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.

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 4 Data types used in project. 1)Bottom-up method: Address points data set with population form Census Grid data set series 1x1km ( GRID_ETRS89_LAEA_1K ) 2)Top-down method: Enumeration area districts with population from Census High resolution soil sealing layer for the year 2006.

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 5 Test area Subregion 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)

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 6

7 Top-down method - assumption 1.Using the smallest statistical regions in order to minimize error of the spatial distribution.

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 8 Top-down method - assumption 2.Using the SSL to increase the accuracy of address points distribution.

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 9

10 Top-down and bottom-up methods – in details

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 11

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 12 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”.

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 13 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)

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 14

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 15 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.

EUROPEAN FORUM FOR GEOSTATISTICS CONFERENCE (EFGS) October Lisbon, Portugal 16 Thank you for your attention. Radoslaw Jablonski Central Statistical Office of Poland