Volume XLII-4 | Copyright
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 209-215, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-209-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Sep 2018

19 Sep 2018

CLASSIFICATION OF BUILDING FUNCTION USING AVAILABLE SOURCES OF VGI

C. C. Fonte1,2, M. Minghini3, V. Antoniou4, J. Patriarca2, and L. See5 C. C. Fonte et al.
  • 1Department of Mathematics, University of Coimbra, Coimbra, Portugal
  • 2Institute for Systems Engineering and Computers at Coimbra (INESCC), Coimbra, Portugal
  • 3Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy
  • 4Geographic Directorate, Hellenic Army General Staff, Athens, Greece
  • 5International Institute for Applied Systems Analysis, Laxenburg, Austria

Keywords: Volunteered Geographic Information, OpenStreetMap, Facebook, Foursquare, Building Function, Automated Classification

Abstract. This paper examines the feasibility of using data from OpenStreetMap (OSM), Facebook and Foursquare as a source of information on the function of buildings. Such information is rarely openly available and if available, would vary between cities by nomenclature, making comparisons between places difficult. Volunteered Geographic Information (VGI) including data from social media represents new potential sources of building function data that have not yet been exploited for this purpose. Using a part of the city of Milan as the study area, building data from OSM and points of interest (POIs) from OSM, Facebook and Foursquare were extracted to derive the building function. This resulted in the classification of building function for more than 80% of the buildings and demonstrated that both Facebook and Foursquare can complement the building function derived from OSM, helping to fill in missing gaps. This preliminary study has demonstrated the potential of this approach for deriving building function information from open data in a simple way yet still requires independent validation with alternative sources as well as extension to other areas that have different amounts of OSM and social media coverage.

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