[R-sig-Geo] lm.morantest on glm residuals

Alexander.Herr at csiro.au Alexander.Herr at csiro.au
Fri Jul 15 06:31:59 CEST 2005


Hi List,

I am looking at identifying spatial autocorrelation in glm.nb residuals.
Using Moran's test for residuals (lm.morantest) would require an lm
object. However, the glm.nb output does not provide this. My questions:

1) is it correct to use lm.morantest on negative binomial residuals
(nresid)
2) if so is it valid I force nresid into an lm object with
lm(nresid~-1)->nres1 to apply lm.morantest(nres1, listw.U)
3) if not, what are my alternatives?

Any help appreciated
Thanks 
Herry

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Today's Topics:

   1. GIS Cafe News for July 11, 2005 (GISCafe Newsletter)
   2. construct neighbour list (Yilin Liu)


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Subject: [R-sig-Geo] GIS Cafe News for July 11, 2005
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Message: 2
Date: Tue, 12 Jul 2005 19:05:05 +0100
From: Yilin Liu <Y.liu at mdx.ac.uk>
Subject: [R-sig-Geo] construct neighbour list
To: r-sig-geo at stat.math.ethz.ch
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<A527689D36C527459F58091EA54212F35E5781 at MDX-CLX-DC1.uni.mdx.ac.uk>
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Dear all,
 
Based on the neighbour list (denoted by X) obtained by "poly2nb", I
tried to modify it by the following codes:
X1<-X
for(i in 1:108){
for( j in 1:num[i]){
if(num[i]!=0){
k<-k+1
X1[[i]][j]<-adj[k]
 }}}
where num[i] is the number of neighours of region i, adj[k] is the
region ID of the neighour.
A summary of X is:
Neighbour list object:
Number of regions: 108 
Number of nonzero links: 536 
Percentage nonzero weights: 4.595336 
Average number of links: 4.962963 
1 region with no links:
33
while a summary of X1 is:
Neighbour list object:
Number of regions: 108 
Number of nonzero links: 0 
Percentage nonzero weights: 0 
Average number of links: 0 
108 regions with no links:
This suggests no links have been set for X1.
However, X1[[match(i,r.id)]](where r.id<-attr(X1,"region.id"))
gives the right neighbours' ID for each region represented by "i".
 
How can solve this problem and get X1 with nonzero links.
 
 
Thanks.



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