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Using OpenStreetMap to improve population grids in Europe
KTH, School of Architecture and the Built Environment (ABE), Transport Science. Department of Transportation Networks, Faculty of Management Science and Informatics, University of Žilina.ORCID iD: 0000-0002-8499-0843
2016 (English)In: Cartography and Geographic Information Science, ISSN 1523-0406, E-ISSN 1545-0465, 1-13 p.Article in journal (Refereed) Published
Abstract [en]

OpenStreetMap (OSM) database has previously been used to support spatial disaggregation of population data by partly masking out non-residential impervious areas in the European Copernicus imperviousness layer (IL). However, the exact procedure of OSM data incorporation is unknown, and its contribution to the improvement of estimation accuracy has never been studied. In this article, we present a sensitivity study to find out which road categories should be used for masking of IL and how the linear features might be transformed to raster representation. Using Austria and Slovenia as a study area, 2006 commune population counts are disaggregated into 100 m grid cells using 12 versions of modified IL. Further tuning of estimates is performed using CORINE Land Cover (CLC) data in an iterative algorithm. Disaggregated grids are then validated against reference 1 km census-based data. The results show that overall error was reduced thanks to OSM incorporation in all tested scenarios, although the relative improvement varies between as well as within the two countries. The best result (5.3% reduction) was achieved using railways and three major road categories (motorway, trunk, and primary) with double exaggeration of width.

Place, publisher, year, edition, pages
2016. 1-13 p.
Keyword [en]
CORINE, imperviousness, OpenStreetMap, population density, spatial disaggregation, Algorithms, Computer software maintenance, Iterative methods, Roads and streets, Transportation, Population densities, Population statistics
National Category
Remote Sensing
URN: urn:nbn:se:kth:diva-197223DOI: 10.1080/15230406.2016.1192487ISI: 000390389400005ScopusID: 2-s2.0-84974822843OAI: diva2:1052056

QC 20161205

Available from: 2016-12-05 Created: 2016-11-30 Last updated: 2017-01-16Bibliographically approved

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Cebecauer, Matej
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