The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models
@article{Lu2014TheGR, title={The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models}, author={B. Lu and P. Harris and M. Charlton and C. Brunsdon}, journal={Geo-spatial Information Science}, year={2014}, volume={17}, pages={101 - 85} }
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 description. The approach uses a moving window weighting technique, where a collection of local models are estimated at target locations. Commonly, model parameters or outputs are mapped so that the nature… CONTINUE READING
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