Spatial accuracy evaluation of population density grid disaggregations with corine landcover

Johannes Scholz*, Michael Andorfer, Manfred Mittlboeck

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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.

Original languageEnglish
Title of host publicationGeographic Information Science at the Heart of Europe
EditorsBenedicte Bucher, Danny Vandenbroucke, Joep Crompvoets
PublisherKluwer Academic Publishers
Pages267-283
Number of pages17
ISBN (Electronic)9783319006147
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event16th AGILE Conference on Geographic Information Science - Leuven, Belgium
Duration: 14 May 201317 May 2013

Publication series

NameLecture Notes in Geoinformation and Cartography
Volume2013-January
ISSN (Print)1863-2351

Conference

Conference16th AGILE Conference on Geographic Information Science
Country/TerritoryBelgium
CityLeuven
Period14/05/1317/05/13

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Earth-Surface Processes
  • Computers in Earth Sciences

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