115 citations · 157 across the 5 of their papers we have counts for
5 papers
A Spatial Analysis of Disposable Income in Ireland: A GWR Approach
Paul Kilgarriff, Martin Charlton
This paper examines the spatial distribution of income in Ireland. Median gross household disposable income data from the CSO, available at the Electoral Division (ED) level, is us…
The GWR route map: a guide to the informed application of Geographically Weighted Regression
Alexis Comber, Chris Brunsdon, Martin Charlton +8
Geographically Weighted Regression (GWR) is increasingly used in spatial analyses of social and environmental data. It allows spatial heterogeneities in processes and relationships…
The importance of scale in spatially varying coefficient modeling
Daisuke Murakami, Binbin Lu, Paul Harris +4
While spatially varying coefficient (SVC) models have attracted considerable attention in applied science, they have been criticized as being unstable. The objective of this study…
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…
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…