[R-sig-Geo] inconsistent results from moran.test()

[Jay Wang]

Hello,

Having my own spatial weight matrix, I converted it to a listw format and
calculated the Moran index. The codes are listed below:

Wod_lw<-mat2listw(Wod)
moran.test(mydata$Ties_processed,Wod_lw, randomisation=TRUE)

However, after I generated a gal file, imported it, converted it back to a
listw file, and re-calculated the Moran index with the following codes, the
results became totally different (0.1624 vs. 0.1942):
write.nb.gal(Wod_lw$neighbours,"Wod.gal")
Wod.gal.nb <- read.gal(file="Wod.gal")
Wod_lw2<-nb2listw(Wod.gal.nb)
moran.test(mydata$Ties_processed,Wod_lw, randomisation=TRUE)
moran.test(mydata$Ties_processed,Wod_lw2, randomisation=TRUE)

I don't know where the problem is. I would appreciate if anyone can help me
with this. Thank you

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