Rdocumentation
powered by
Learn R Programming
spgwr (version 0.6-37)
Geographically Weighted Regression
Description
Functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.
Copy Link
Link to current version
Version
Version
0.6-37
0.6-36
0.6-35
0.6-34
0.6-33
0.6-32
0.6-31
0.6-30
0.6-29
0.6-28
0.6-26
0.6-25
0.6-24
0.6-23
0.6-22
0.6-21
0.6-19
0.6-18
0.6-17
0.6-14
0.6-13
0.6-10
0.6-9
0.6-8
0.6-7
0.6-5
0.6-4
0.6-2
0.5-12
0.5-10
0.5-7
0.5-5
0.5-4
0.5-3
0.5-2
0.5-1
0.4-7
0.4-6
0.4-5
0.4-4
0.4-3
0.4-2
0.4-1
0.4-01
0.3-12
Install
install.packages('spgwr')
Monthly Downloads
3,037
Version
0.6-37
License
GPL (>= 2)
Issues
1
Pull Requests
1
Stars
3
Forks
2
Repository
https://github.com/rsbivand/spgwr/
Homepage
https://rsbivand.github.io/spgwr/
Maintainer
Roger Bivand
Last Published
June 10th, 2024
Functions in spgwr (0.6-37)
Search all functions
gwr.tricube
GWR tricube weights function
gwr.morantest
Moran's I for gwr objects
gwr.gauss
GWR Gaussian weights function
gwr.sel
Crossvalidation of bandwidth for geographically weighted regression
gw.adapt
Adaptive kernel for GWR
georgia
Georgia census data set (SpatialDataFramePolygons)
ggwr.sel
Crossvalidation of bandwidth for generalised GWR
ggwr
Generalised geographically weighted regression
gw.cov
Geographically weighted local statistics
gwr
Geographically weighted regression
gwr.bisquare
GWR bisquare weights function
LMZ.F3GWR.test
Global tests of geographical weighted regressions