Abstract
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.
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References
Bierkens MFP, Finke PA, de Willigen P (2000) Upscaling and downscaling methods for environmental research. Kluwer, Dordrecht, p 190
Briggs DJ, Gulliver J, Fecht D, Vienneau DM (2007) Dasymetric modelling of small-area population distribution using land cover and light emissions data. Remote Sens Environ 108:451–466
Chen K, McAneney J, Blong R, Leigh R, Hunter L, Magill C (2004) Defining area at risk and its effect in catastrophe loss estimation: a dasymetric mapping approach. Appl Geogr 24:97–117
Eicher C, Brewer C (2001) Dasymetric mapping and areal interpolation: implementation and evaluation. Cartography Geogr Inf Sci 28:125–138
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
Flowerdew R, Green M, Kehris E (1991) Using areal interpolation methods in GIS. Pap Reg Sci 70(3):303–315
Gallego FJ (2010) A population density grid of the European Union. Popul Environ 31(6):460–473
Gallego FJ, Batista F, Rocha C, Mubareka S (2011) Disaggregating population density of the European Union with CORINE land cover. Int J Geogr Inf Sci 25(12):2051–2069
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
Langford M, Unwin DJ (1994) Generating and mapping population density surfaces within a geographical information system. Cartogr J 31(1):21–26
Mennis J (2009) Dasymetric mapping for estimating population in small areas. Geogr Compass 3(2):727–745
Mrozinski R, Cromley R (1999) Singly- and doubly-constrained methods of areal interpolation for vector-based GIS. Trans Geogr Inf Syst 3:285–301
Reibel M, Agrawal A (2007) Areal interpolation of population counts using pre-classified land cover data. Popul Res Policy Rev 26(5–6):619–633
Reibel M, Bufalino M (2005) Street-weighted interpolation techniques for demographic count estimation in incompatible zone systems. Environ Plann A 37(1):127–139
Snedecor GW, Cochran WG (1968) Statistical methods, 6th edn. The Iowa State University Press, Ames, Iowa
Thieken A, Mueller M, Kleist L, Seifert I, Borst D, Werner U (2006) Regionalisation of asset values for risk analyses. Nat Hazards Earth Syst Sci 6:167–178
Tobler WR (1979) Smooth pycnophylatic interpolation for geographical regions. J Am Stat Assoc 74:519–530
Tralli DM, Blom RG, Zlotnicki V, Donnellan A, Evans DL (2005) Satellite remote sensing of earthquake, volcano, flood, landslide and coastal inundation hazards. ISPRS J Photogr Remote Sens 59(4):185–198
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 20–22
Yuan Y, Smith RM, Limp WF (1997) Remodeling census population with spatial information from Landsat TM imagery. Comput Environ Urban Syst 21(3–4):245–258
Acknowledgments
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.
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Scholz, J., Andorfer, M., Mittlboeck, M. (2013). Spatial Accuracy Evaluation of Population Density Grid Disaggregations with Corine Landcover. In: Vandenbroucke, D., Bucher, B., Crompvoets, J. (eds) Geographic Information Science at the Heart of Europe. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-00615-4_15
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DOI: https://doi.org/10.1007/978-3-319-00615-4_15
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