115 citations · 174 across the 7 of their papers we have counts for
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stat.ME2013★ 1 cited
The GWmodel R package: Further Topics for Exploring Spatial Heterogeneity using Geographically Weighted Models
Binbin Lu, Paul Harris, Martin Charlton +1
In this study, we present a collection of local models, termed geographically weighted (GW) models, that can be found within the GWmodel R package. A GW model suits situations when…
stat.AP2013★ 115 cited
GWmodel: an R Package for Exploring Spatial Heterogeneity using Geographically Weighted Models
Isabella Gollini, Binbin Lu, Martin Charlton +2
Spatial statistics is a growing discipline providing important analytical techniques in a wide range of disciplines in the natural and social sciences. In the R package GWmodel, we…