Hi Tracy, You can try this:
require (vegan) data(mite) data(mite.env) data(mite.xy) mod<- rda (mite~., data=mite.env) res<-residuals(mod) require (spacemakeR) vario<-variogmultiv(res, mite.xy) plot(vario$d, vario$var, ty='b',pch=20,xlab="Distance", ylab="C(distance)") But, I'm not sure. Maybe to implement spatial variables in the model through spatial eigenfuncion analysis (e.g., db-MEM, MEM) also could be very useful. Hope this helps. Best -- View this message in context: http://r-sig-ecology.471788.n2.nabble.com/residuals-in-RDA-and-test-for-spatial-autocorrelation-tp7578814p7578818.html Sent from the r-sig-ecology mailing list archive at Nabble.com. _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
