[R-sig-Geo] environmental heterogeneity

[Andy Hartley]

Dear Pascal,
 
I did something similar using Mahalanobis Distance in order to assess
similarity of habitat within protected areas to that of the surrounding
area, in Africa. We used elevation, aridity, NDVI, NDWI, etc, so it
appears to match with your needs. The advantage of using mahalanobis
distance (as opposed to euclidean distance) is that it accounts for
covariance between your input variables. You can read more in our report
-
http://bioval.jrc.ec.europa.eu/APAAT/AssessmentOfAfricanProtectedAreas_E
UR22780.pdf or on the webpage - http://bioval.jrc.ec.europa.eu/APAAT/
(click a protected area on the map, and scroll down to the habitat
irreplaceability indicator)
 
Kind regards,
 
Andy
 
-- 
Andrew Hartley Climate Impacts Scientist
Met Office FitzRoy Road Exeter EX1 3PB United Kingdom
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E-mail: andrew.hartley at metoffice.gov.uk http://www.metoffice.gov.uk
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________________________________

From: Pascal Title [via R-sig-geo]
[mailto:ml-node+s2731867n7378021h27 at n2.nabble.com] 
Sent: 16 March 2012 06:19
To: Hartley, Andrew
Subject: environmental heterogeneity


Hello all, 

I don't have a question about a specific function, so much as I'm
wondering 
if a specific type of function exists in R. 
I have multiple continuous-variable rasters (elevation, temperature, 
precipitation) and I would like to obtain some kind of measure of 
environmental heterogeneity based on these variables across a landscape 
(that would be defined by a bounding polygon). I know such methods exist

for categorical variables (for example in the SDMTools package with the 
PatchStat function), but I can't seem to find anything that would work
with 
continuous data. 

Any suggestions or advice would be greatly appreciated. Thanks for your 
time! 

-Pascal 

-- 
Pascal Title 

Graduate Student 
Burns Lab 
http://kevinburnslab.com/
Department of Evolutionary Biology 
San Diego State University 
5500 Campanile Drive 
San Diego, CA 92182-4614 

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