'Is there an R function that tests for spatial autocorrelation in residuals of a regression created by errorsarlm / lagsarlm / sacsarlm
My question relates to the functions errorsarlm(), lagsarlm() and sacsarlm() of the "spdep" package. I would like to test the residuals of a regression created by one of the functions above on remaining spatial autocorrelation, for example by running a Moran's I test.
For linear models there exists the function lm.morantest() which tests for spatial autocorrelation among OLS residuals.
Is there a function already implemented in a package (not necessarily "spdep" or "spatialreg") that does this for the residuals of a spatial regression model? For example, would it be correct to do this by the moran.mc() command?
If no such function exists, what would be the correct approach to write such a function by myself?
Any help is much appreciated!
Solution 1:[1]
Yes, you can use Moran's I on the residuals:
moran.test(df$residuals, listw=df_k2_wb, alternative="two.sided")
ArcPro has a good write-up on using this diagnostic:
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Paulito.Bandito |