rgeoda is a R package for spatial data analysis based on libgeoda and GeoDa.
This version provides following features:
- Spatial Weights
- Queen
- Rook
- Distance based
- K-Nearest Neighbor
- Kernel
- Spatial Autocorrelation
- Local Moran
- Local Geary
- Local Getis-Ord
- Local Join Count
- Spatial Clustering
- SKATER
- REDCAP
- Max-p
NOTE: This version is still under development, with many changes that might cause issues and errors.
This version is a prototype of rgeoda aims to build up the framework that allows rgeoda to be easily installed in R on different platforms (Windows, Mac OSX, and Linux).
NOTE: we are working to make rgeoda avaiable in CRAN, so that it could be installed easily (target in 0.0.2 version).
In R console, use install.packages()
function to install rgeoda from its source pacakge at: https://github.com/lixun910/rgeoda/releases/download/0.0.1/rgeoda_0.0.1.zip
install.packages("https://github.com/lixun910/rgeoda/releases/download/0.0.1/rgeoda_0.0.1.zip", dependencies=c('wkb'))
In R console, use install.packages()
function to install rgeoda from its source pacakge at: https://github.com/lixun910/rgeoda/archive/0.0.1.tar.gz
install.packages("https://github.com/lixun910/rgeoda/archive/0.0.1.tar.gz", dependencies=c('wkb'))
Limited features of spatial data analysis are provided for now. Please see the following jupyter notebooks
Notebooks: https://github.com/lixun910/rgeoda_tutorial
Webpages:
Note: the second notebook (esda) depends on sp, and the third notebook depends on sf package.
You can try thoese R jupyter notebooks in your browser (no installation required):
https://mybinder.org/v2/gh/lixun910/rgeoda_tutorial/master