
Dear all,

I'm using the "skater" function in spdep in order to perform a spatial clustering of polygons containing fire regime data. However, I have the following problem. When I compute the cost, some of my polygons are similar to all their neighbors; hence, all edges have 0 cost values for these polygons. When I compute the nb2listw using the neighbors list and the glist as cost, it obviously reports that   :

>In nb2listw(ecodist_80_99.nb, lcosts_ecodist_80_99, style = "W",  :
  zero sum general weights

For those who are familiar with spatial clustering, I'm looking for proposition. Maybe the only issue would be to dissolve these polygons and then rerun the analyses. Morever, is there another spatial clustering technique in R that can cope with such data?

Thanks in advance,

Yan

Yan Boulanger 
Dendrolab - Datation de bâtiments patrimoniaux par dendrochronologie
www.dendrolab.ca
info@dendrolab.ca

 

Université du Québec à Rimouski 
Département de Biologie 
Centre d'études nordiques 
300, allée des Ursulines 
Rimouski, PQ G5L 3A1 
(418) 723-1986 poste 1482
 


 		 	   		  
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