In GWmodel, we introduce techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. GWmodel includes functions to calibrate: GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression; some of which are provided in basic and robust (outlier resistant) forms.
| Version: |
1.2-5 |
| Depends: |
R (≥ 3.0.0), maptools (≥ 0.5-2), robustbase, sp |
| Suggests: |
mvoutlier, RColorBrewer, gstat |
| Published: |
2015-02-01 |
| Author: |
Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb] |
| Maintainer: |
Binbin Lu <binbinlu at whu.edu.cn> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://gwr.nuim.ie/ |
| NeedsCompilation: |
no |
| Citation: |
GWmodel citation info |
| In views: |
Spatial |
| CRAN checks: |
GWmodel results |