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Moran I with Edge effect correction

On Mon, 27 Aug 2012, laurence delattre wrote:

            
There isn't a simple answer, so each case would need to be guided by the 
analyst. If a concave hull is available, one could down-weight all links 
to observations in the set of members of the concave hull. If the 
observations have polygon support, one could mark all polygons with less 
that 100% internal shared boundaries (having an external boundary) for 
down-weighting. The down-weighting might be done by iterating over the 
links in the nb object to apply the downweighting factor to each link. 
There is a discussion of concave hulls on:

http://r.789695.n4.nabble.com/Concave-hull-td863710.html

example(nc.sids)
nn <- card(ncCR85_nb)
summary(nn)
nc.sids$nn <- factor(nn)
spplot(nc.sids, "nn", col.regions=rev(grey.colors(9)))


But your choice of weights style will have a major impact, so for binary 
weights, the low neighbour count observations are already down-weighted. 
The problem of up-weighted low neighbour count observations is most 
pressing for row-standardised weights, and there the glist= argument will 
not help. These topics are not well covered in the literature, I'm afraid.

Hope this helps,

Roger

  
    
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