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.
|Authors||Lu, B., Brunsdon, C., Charlton, M. and Harris, P.|
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.
|Keywords||Multiscale; GWmodel; local regression; spatial heterogeneity; GWR|
|Year of Publication||2019|
|Journal||International Journal Of Geographical Information Science|
|Journal citation||33 (7), pp. 1300-1312|
|Digital Object Identifier (DOI)||doi:10.1080/13658816.2019.1585541|
|Open access||Published as non-open access|
|Output status||In press|
|Online||17 Mar 2019|
|Publication process dates|
|Accepted||18 Feb 2019|
|Publisher||Taylor & Francis|
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