A response to “A comment on Geographically weighted regression with parameter-specific distance metrics.”

A - Papers appearing in refereed journals

Lu, B., Brunsdon, C., Charlton, M. and Harris, P. 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.

AuthorsLu, B., Brunsdon, C., Charlton, M. and Harris, P.
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.

KeywordsMultiscale; GWmodel; local regression; spatial heterogeneity; GWR
Year of Publication2019
JournalInternational Journal Of Geographical Information Science
Journal citation33 (7), pp. 1300-1312
Digital Object Identifier (DOI)doi:10.1080/13658816.2019.1585541
Open accessPublished as non-open access
Output statusIn press
Publication dates
Online17 Mar 2019
Publication process dates
Accepted18 Feb 2019
PublisherTaylor & Francis
ISSN1365-8816

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