How to create generalized spatial weight matrix in R

It is very happy to get response from the author of spdep.  The idea
to use the boundary length proportions from a Voronoi diagram instead
of polygon borders is ingenious for me.

Since  tripack or deldir seems to be related to voronoi diagram in
current library of R, I am going to check these.  Do you have any
other suggestions?
No, I was thinking of tripack, but both could do it. They already contain 
topology (left-right neighbours I think) and computing the length of the 
boundaries must be simple. Perhaps someone with time on their hands and 
access to a range of shapes could see if this would be a workable or a 
very bad hack? It should handle Iowa quite well, shouldn't it? Can 
RArcInfo give us lengths of shared boundaries as a target from e00 and Arc 
binary polygons, say get.arcdata()? Cliff and Ord exclude the study area 
boundary - the proportion is of all internal boundaries per polygon, this 
probably needs to be looked at too?

I have enjoyed Moran's I with spdep package, but I found
nb2listw() supported only binary spatial weight matrix and its
standardized one.

See the glist argument to nb2listw() for the way to insert
generalised weights, such as inverse distance.
I overlooked the glist. You gave us example in help, so I now know how
to make generalized spatial wight matrix from any other list.

Other than R, which software can create generalized spatial weight
matrix?
On Windows, you could try GeoDa.
Ummm, I am a Linux user.
Any others with experience of benefits or otherwise of using generalised 
weights?

Roger
Thank you.

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Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Breiviksveien 40, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 93 93
e-mail: Roger.Bivand at nhh.no

How to create generalized spatial weight matrix in R

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