Spatial Accuracy Evaluation of Population Density Grid Disaggregations with Corine Landcover
The article elaborates on the spatial disaggregation approach of the 1 km population density grid created by the European Forum for Geostatistics in a defined study area where accurate population reference data are available. The chapter presents an approach to disaggregate the population grid to target resolution of 100 and 500 m respectively and describes the evaluation methodology. The resulting population grids are evaluated with respect to the reference population dataset of the Austrian Bureau of Statistics. In addition, the results are evaluated regarding their correlation to the reference or a random population dataset. The results indicate that there is evidence that the disaggregated population grid with 500 m resolution is more accurate than the 100 m population grid. In addition, the 100 m disaggregated population raster shows more correlation with the random population grid. Furthermore, the chapter shows that densely populated zones are estimated with higher accuracy than medium and sparsely populated areas.
KeywordsLand Cover Austrian Bureau Land Cover Class Reference Grid Corine Land Cover
The present work has been funded by the European Commission under Framework Programme for RTD 7 through the project “Modeling and Simulation of the Impact of Public Policies on SMEs (MOSIPS)”—Grant agreement no.: 288833.
- Bierkens MFP, Finke PA, de Willigen P (2000) Upscaling and downscaling methods for environmental research. Kluwer, Dordrecht, p 190Google Scholar
- EEA-ETC/TE (2002) Corine land cover update. Technical guidelines. Web: http://www.eea.europa.eu/publications/technical_report_2002_89
- EUROSTAT (2012) Local administrative units. Web: http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/local_administrative_units. Accessed 29 Dec 2012
- Gallego J, Peedell S (2001) Using CORINE land cover to map population density. Towards agri-environmental indicators, topic report 6/2001 European environment agency, Copenhagen, http://reports.eea.eu.int/topic_report_2001_06/en. pp 92–103
- Mennis J (2009) Dasymetric mapping for estimating population in small areas. Geogr Compass 3(2):727–745Google Scholar
- Mrozinski R, Cromley R (1999) Singly- and doubly-constrained methods of areal interpolation for vector-based GIS. Trans Geogr Inf Syst 3:285–301Google Scholar
- Snedecor GW, Cochran WG (1968) Statistical methods, 6th edn. The Iowa State University Press, Ames, IowaGoogle Scholar
- Vinkx K, Visee T (2008) Usefulness of population files for estimation of noise hindrance effects. In: Proceedings of ICAO committee on aviation environmental protection. CAEP/8 modelling and database task force (MODTF), 4th meeting. Sunnyvale, USA, February 2008, pp 20–22Google Scholar