The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models

• Published in: Geo-spatial information science Vol. 17; no. 2; pp. 85 - 101
• Main Authors: Lu, Binbin, Harris, Paul, Charlton, Martin, Brunsdon, Chris
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 03.04.2014
• Subjects: discriminant analysis; election data; Monte Carlo tests; principal components analysis; semi-parametric GW regression

In this study, we present a collection of local models, termed geographically weighted (GW) models, which can be found within the GWmodel R package. A GW model suits situations when spatial data are poorly described by the global form, and for some regions the localized fit provides a better descrip...