Thank you for your answer, I wrote a simple code to plot Moran's I estimates but it's ok :

m=c(m1$e[1],m2$e[1],m3$e[1],m4$e[1],m5$e[1],m6$e[1],m7$e[1],m8$e[1],m9$e[1],m10$e[1])   # I estimate for my 10 lags
p=c(m1$p.v,m2$p.v,m3$p.v,m4$p.v,m5$p.v,m6$p.v,m7$p.v,m8$p.v,m9$p.v,m10$p.v)  # the 10 p.value
l=c("0-40","40-80","80-120","120-160","160-200","200-240","240-280","280-320","320-360","360-400")
library(lattice)
trellis.device(device=X11,new=FALSE,color=FALSE)    # I found this code in a help
pch=ifelse(p<0.05,19,21)
xyplot(m~ordered(l,levels=l),type="b",xlab="lagdist",ylab="Moran's I",lty=1,lwd=2,cex=1.5,
pch=pch)

For the moment I have no suggestion for a good example (what do you research exactly? I think you're looking for published data...) but another question! How can I put the variance on the graph for each point?
Thank you Roger if you have time to answer, your answers are very clear and helpful! But if someone has an idea, he's welcome!
Chloé

Chloé Archinard
Centre d'Ecologie Fonctionnelle et Evolutive
(C.N.R.S.-U.M.R. 5175)
1919, Route de Mende
34293 Montpellier Cedex 5 France
chloe.archinard@cefe.cnrs.fr


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