Package: spgwr 0.6-37
spgwr: Geographically Weighted Regression
Functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.
Authors:
spgwr_0.6-37.tar.gz
spgwr_0.6-37.zip(r-4.7)spgwr_0.6-37.zip(r-4.6)spgwr_0.6-37.zip(r-4.5)
spgwr_0.6-37.tgz(r-4.6-x86_64)spgwr_0.6-37.tgz(r-4.6-arm64)spgwr_0.6-37.tgz(r-4.5-x86_64)spgwr_0.6-37.tgz(r-4.5-arm64)
spgwr_0.6-37.tar.gz(r-4.7-arm64)spgwr_0.6-37.tar.gz(r-4.7-x86_64)spgwr_0.6-37.tar.gz(r-4.6-arm64)spgwr_0.6-37.tar.gz(r-4.6-x86_64)
spgwr_0.6-37.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
spgwr/json (API)
| # Install 'spgwr' in R: |
| install.packages('spgwr', repos = c('https://rsbivand.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rsbivand/spgwr/issues
Pkgdown/docs site:https://rsbivand.github.io
Last updated from:2169f6b753. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 146 | ||
| linux-devel-x86_64 | OK | 135 | ||
| source / vignettes | OK | 155 | ||
| linux-release-arm64 | OK | 161 | ||
| linux-release-x86_64 | OK | 130 | ||
| macos-release-arm64 | OK | 166 | ||
| macos-release-x86_64 | OK | 178 | ||
| macos-oldrel-arm64 | OK | 156 | ||
| macos-oldrel-x86_64 | OK | 198 | ||
| windows-devel | OK | 87 | ||
| windows-release | OK | 80 | ||
| windows-oldrel | OK | 75 | ||
| wasm-release | OK | 135 |
Exports:anova.gwrBFC02.gwr.testBFC99.gwr.testggwrggwr.selgw.adaptgw.covgwrgwr.bisquaregwr.Gaussgwr.morantestgwr.selgwr.tricubeLMZ.F1GWR.testLMZ.F2GWR.testLMZ.F3GWR.test
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Georgia census data set (SpatialDataFramePolygons) | georgia gSRDF gSRouter |
| Generalised geographically weighted regression | ggwr |
| Crossvalidation of bandwidth for generalised GWR | ggwr.cv.adapt.f ggwr.cv.f ggwr.sel |
| Adaptive kernel for GWR | gw.adapt |
| Geographically weighted local statistics | gw.cov |
| Geographically weighted regression | gwr print.gwr |
| GWR bisquare weights function | gwr.bisquare |
| GWR Gaussian weights function | gwr.Gauss gwr.gauss |
| Moran's I for gwr objects | gwr.morantest |
| Crossvalidation of bandwidth for geographically weighted regression | gwr.aic.adapt.f gwr.aic.f gwr.cv.adapt.f gwr.cv.f gwr.sel |
| GWR tricube weights function | gwr.tricube |
| Global tests of geographical weighted regressions | anova.gwr BFC02.gwr.test BFC99.gwr.test LMZ.F1GWR.test LMZ.F2GWR.test LMZ.F3GWR.test |
