Calculating local autocorrelation via Moran's I is easy with the localmoran() function from the package spdep. But is it possible to calculate Geary's coefficient for local autocorrelation in R? I know that this is possible in GeoDa, but I have no idea how to do that in R.
How to calculate local autocorrelation via Geary's C in R?
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To calculate the local Geary's C, there is no function or package in R that does it so far ( In fact there is the function usdm::lisa(), but it calculates it for Raster data). I have created a simple script for this and compared it with GeoDa and the values are similar. It is this:
This gives us the local Geary's C, but to know if it is significant or not, it is necessary to perform a permutation test. I recommend reading the article "A Local Indicator of Multivariate Spatial Association: Extending Geary's c" by Luc Anselin (2018).