Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information

Comber, A, Fonte, C, Foody, G et al. (4 more authors) (2016) Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information. GeoInformatica, 20 (3). pp. 503-527. ISSN 1384-6175

Abstract

Metadata

Authors/Creators:
  • Comber, A
  • Fonte, C
  • Foody, G
  • Fritz, S
  • Harris, P
  • Olteanu-Raimond, A-M
  • See, L
Copyright, Publisher and Additional Information: © Springer Science+Business Media New York 2016. This is an author produced version of a paper published in GeoInformatica. The final publication is available at Springer via http://dx.doi.org/10.1007/s10707-016-0248-z. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Crowdsourcing, land cover, data quality, VGI, data mining
Dates:
  • Published: July 2016
  • Accepted: 10 February 2016
  • Published (online): 27 February 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 01 Mar 2016 14:31
Last Modified: 21 Apr 2017 11:26
Published Version: http://dx.doi.org/10.1007/s10707-016-0248-z
Status: Published
Publisher: Springer Verlag
Identification Number: https://doi.org/10.1007/s10707-016-0248-z

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