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}
}
  • B. Lu, P. Harris, +1 author C. Brunsdon
  • Published 2014
  • Computer Science, Mathematics
  • Geo-spatial Information Science
  • 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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