GWRs

地理加权回归在R语言中的高性能实现 (GWmodel Lab)
Lu (2022). High-performance Solutions of Geographically Weighted Regression in R. Geo-spatial Information Science doi:10.1080/10095020.2022.2064244 (epub) (pdf) (Data availability statement)

Gollini (2015). GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models. Journal of Statistical Software doi:10.18637/jss.v063.i17

Comber (2022). A Route Map for Successful Applications of Geographically Weighted Regression. Geographical Analysis doi:10.1111/gean.12316 (github:GWRroutemap)

Geographically Weighted Regression A Method For Exploring (pdffile)