Apologies for cross-posting, its unclear if this is a spatial or a mixed
models question. Maybe its both?
I am interested in extracting the residuals from level 2 of a mixed model
(created using lme()), building a spatial weights matrix, and then testing
for spatial autocorrelation using Moran's I.
While I have found methods of incorporating spatial effects into a mixed
model using corStruct, I am interested in first evaluating *if* that is an
appropriate model for a given dataset by examining the level 2 residuals'
spatial patterning - or lack thereof.
Which slot contains the residuals for level 2 and how are they ordered?
Best,
Dexter
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