
Dear all,

I'm currently working on the spatial clustering of fire regime in Canada. We are trying to determine if the spatial clustering (using the skater function in spdep) of ecodistricts (the smallest unit within the Canadian Ecological Framework) match, to a certain extent, the spatial arrangement of larger regions within this classification scheme (e.g. ecoprovince or ecozones, the largest). I would like to use the variation of information (VI) criteria (Meila 2007) implemented in the fpc package for clustering to assess how my spatial clustering departs from the one of the ecological framework of Canada. To do so, I would like to compare my clustering to 999 "null" spatial clusterings.   Those clustering must match the spatial extent of the whole study area, the number of clusters should be the same (n=22), and no clusters should be smaller than 20500 km2. Indeed, only size (and of course spatial arrangement) of clusters (above 20500km2) may vary for the null models. The big thing is that I really don't know where to start! Is there any program or R functions that may help me in this task to generate random areas  ?

Thanks a lot!

Yan

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

 

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email : Yan.Boulanger@nrcan.gc.ca
 




 		 	   		  
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