J - Computer programs
Lu, B., Harris, P., Charlton, M., Brunsdon, C, Nakaya, T. and Gollini, I. 2019. GWmodel.
|Authors||Lu, B., Harris, P., Charlton, M., Brunsdon, C, Nakaya, T. and Gollini, I.|
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.
|Year of Publication||2019|
|Web address (URL)||https://cran.r-project.org/web/packages/GWmodel/GWmodel.pdf|
|Funder project or code||The North Wyke Farm Platform- National Capability [2017-22]|
|Open access||Published as bronze (free) open access|
|Copyright license||CC BY|
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