Distance metric choice can both reduce and induce collinearity in geographically weighted regression

Comber, A orcid.org/0000-0002-3652-7846, Chi, K, Huy, MQ et al. (4 more authors) (2020) Distance metric choice can both reduce and induce collinearity in geographically weighted regression. Environment and Planning B: Urban Analytics and City Science, 47 (3). pp. 489-507. ISSN 2399-8083

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Copyright, Publisher and Additional Information: © The Author(s) 2018. This is an author produced version of an article published in Environment and Planning B: Urban Analytics and City Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Geographically weighted regression, distance metrics, model fit, collinearity
Dates:
  • Accepted: 26 May 2018
  • Published (online): 11 July 2018
  • Published: 1 March 2020
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 Jun 2018 10:09
Last Modified: 27 Mar 2020 15:57
Status: Published
Publisher: SAGE Publications
Identification Number: https://doi.org/10.1177/2399808318784017

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