Geographically weighted correspondence matrices for local error reporting and change analyses: mapping the spatial distribution of errors and change

Comber, A orcid.org/0000-0002-3652-7846, Brunsdon, CF, Charlton, M et al. (1 more author) (2017) Geographically weighted correspondence matrices for local error reporting and change analyses: mapping the spatial distribution of errors and change. Remote Sensing Letters, 8 (3). pp. 234-243. ISSN 2150-7058

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Copyright, Publisher and Additional Information: © 2016, Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Remote Sensing Letters on 28 Nov 2016, available online: http://www.tandfonline.com/10.1080/2150704X.2016.1258126.
Keywords: Geographically weighted; accuracy and error; correspondence matrix; validation matrix; error matrix
Dates:
  • Published: 2017
  • Accepted: 1 November 2016
  • Published (online): 28 November 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: 11 Nov 2016 15:03
Last Modified: 29 Nov 2017 01:38
Published Version: http://dx.doi.org/10.1080/2150704X.2016.1258126
Status: Published
Publisher: Taylor & Francis
Identification Number: https://doi.org/10.1080/2150704X.2016.1258126

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