Moran Index n ape and spdep package
Good morning at all, I'm new on R and also I'm not so practical with
spatial analysis by Moran index. So, I've some practice in kriging to
interpolate adn before to judge by variogram effective spatial
autocorrelation of my actual data resolution.
Recently I've discover Moran index that give me, it seems, a sound
statistical judgment about effective autocorrelation and perhaps spatial
continuity.
I've used "ape" package to perform a Moran evaluation by simple weight
by inverse distance
library("ape")
View(myData) (X, Y, Z attribute of pollutant concentration)
myData.dists <- as.matrix(dist(cbind(myData$X,myData$Y)))
myData.dists.inv <- 1/myData.dists
diag(myData.dists.inv) <- 0
Moran.I(myData$PCE,myData.dists.inv)
Forgive my difficulties but I can not play a similar syntax with
"spdep". Example are not clear for me.
Can you show me an example ?
Thank you very much in advance
Stefano
Dott. Geol. Stefano Menichetti ============================================================= ARPAT - Agenzia per la Protezione dell'Ambiente della Toscana Settore Tecnico SIRA - Sistema Informativo Regionale Ambientale via Nicola Porpora 22 - 50144 Firenze tel. 0553206333 cell. 3383550147 fax 0553206410 s.menichetti at arpat.toscana.it http:\\www.arpat.toscana.it http:\\sira.arpat.toscana.it