Lu, Binbin and Brunsdon, Chris and Charlton, Martin and Harris, Paul (2019) A response to ‘A comment on geographically weighted regression with parameter-specific distance metrics’. International Journal of Geographical Information Science, 33 (7). pp. 1300-1312. ISSN 1365-8816

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Abstract

In this article, we respond to ‘A comment on geographically weighted regression with parameter-specific distance metrics’ by Oshan et al. (2019), published in this journal, where several concerns on the parameter-specific distance metric geographically weighted regression (PSDM GWR) technique are raised. In doing so, we review the developmental timeline of the multiscale geographically weighed regression modelling framework with related and equivalent models, including flexible bandwidth GWR, conditional GWR and PSDM GWR. In our response, we have tried to answer all the concerns raised in terms of applicability, veracity, interpretability and computational efficiency of the PSDM GWR model.

Item Type:	Article
Additional Information:	Cite as: Binbin Lu, Chris Brunsdon, Martin Charlton & Paul Harris (2019) A response to ‘A comment on geographically weighted regression with parameter-specific distance metrics’, International Journal of Geographical Information Science, 33:7, 1300-1312, DOI: 10.1080/13658816.2019.1585541
Keywords:	Multiscale; GWmodel; local regression; spatial heterogeneity; GWR;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG Faculty of Social Sciences > Geography Faculty of Social Sciences > Research Institutes > Maynooth University Social Sciences Institute, MUSSI
Item ID:	14726
Identification Number:	https://doi.org/10.1080/13658816.2019.1585541
Depositing User:	Prof. Chris Brunsdon
Date Deposited:	30 Aug 2021 14:23
Journal or Publication Title:	International Journal of Geographical Information Science
Publisher:	Taylor & Francis
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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