rgeoda is a R package for spatial data analysis based on libgeoda and GeoDa.

• pca
• mds (multi dimensional scaling)
• multivariate local geary
• multivariate local join count
• quantile LISA
• Add False Discovery Rate (FDR) in local spatial autocorrelation
• NaturalBreaks
• QuantileBreaks
• Hinge15Breaks
• Hinge30Breaks
• PercentileBreaks
• StddevBreaks

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: we are working to make rgeoda avaiable in CRAN, so that it could be installed easily (target in 0.1.0 version).

rgeoda depends on wkb package. Sometimes, the “dependencies=TRUE” argument of install.package() doesn’t guarantee the installation ow wkb automatically. To avoid any potential issues of installation, you can install it first before rgeoda installation:

install.packages('wkb')

For Mac users, the “Xcode Command Line Tools” needs to be installed for installing rgeoda. It is a free software provided by Apple, which can be installed by using the following command in a terminal:

xcode-select --install 

In R console, use install.packages() function to install rgeoda from its source pacakge:

install.packages("https://github.com/lixun910/rgeoda/releases/download/0.0.3/rgeoda_0.0.3.tar.gz")
# or the development version
# devtools::install_github("lixun910/rgeoda")

In R console, use install.packages() function to install rgeoda from its binary pacakge:

install.packages("https://github.com/lixun910/rgeoda/releases/download/0.0.3/rgeoda_0.0.3.zip")

For Linux users, the “Build Essential Tools” needs to be installed first:

sudo apt-get update
sudo apt-get install build-essential

In R console, use install.packages() function to install rgeoda from its source pacakge:

install.packages("https://github.com/lixun910/rgeoda/releases/download/0.0.3/rgeoda_0.0.3.tar.gz")

Jupyter Notebooks: https://github.com/lixun910/rgeoda_tutorial/tree/v0.0.3

Note: the second notebook (esda) depends on sp, and the third notebook depends on sf package.

You can try these R jupyter notebooks in your browser via MyBinder (no installation required): https://mybinder.org/v2/gh/lixun910/rgeoda_tutorial/v0.0.3

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).

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:

• 1. Introduction to rgeoda

• 2. ESDA with rGeoDa and sp

• 3. ESDA with rGeoDa and sf

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/v0.0.1