 
 
Terry Griffin, Ph.D.
Assistant Professor - Economics
University of Arkansas - Division of Agriculture
501.671.2182
tgriffin@uaex.edu 


>>> Etienne Bellemare Racine <etiennebr@gmail.com> 2/15/2010 10:23 AM >>>
Hi list,

I am looking for a way to tell how much clustered or not a process is 
(on a numeric scale). I've tried to test for CSR, but the result is too 
narrow as it only tell if the process is random and uniform inside a 
confidence interval. I would like to have an indicator going e.g. from 
random, to clustered, to very clustered. Do you know any way I could do 
that on a more than 3000 points pattern ?

Maybe I've overlooked a simple CSR test, which could be interpreted to 
give a non-boolean answer ?

Any help would be appreciated,
Etienne

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Etienne,
 
Moran's I is used in the literature for an indicator of global spatial autocorrelation.  Both the Moran's I test statistic as well as it's significance level are useful to determine whether the null of 'no spatial autocorrelation' can be rejected.  The moran.test in the spdep package is useful.  
 
Another alternative is the 'local Moran' or LISA.  
 
Terry

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