The GWR route map: a guide to the informed application of Geographically Weighted Regression

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Comber, A. orcid.org/0000-0002-3652-7846, Brunsdon, C., Charlton, M. et al. (8 more authors) (2020) The GWR route map: a guide to the informed application of Geographically Weighted Regression. [Preprint - arXiv]

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Item Type: Preprint
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This is an open access preprint under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Spatially varying coefficient model; non-stationarity; spatial heterogeneity; autocorrelation; regression
Dates:
  • Published: 13 April 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: 09 Jan 2025 11:56
Last Modified: 09 Jan 2025 11:56
Published Version: https://arxiv.org/abs/2004.06070
Identification Number: 10.48550/arXiv.2004.06070
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