[R-sig-Geo] Duttileul's method

[W. Daniel Kissling]

Hi all,

I am currently looking for a possibility to calculate the geographically effective 
degrees of freedom of a (non-spatial ordinary least squares) regression model in the 
presence of spatial autocorrelation within a gridded dataset. My regression model has 
spatial autocorrelation in the residuals (indicated by Moran's I values) but I do not 
want to use a spatial model (e.g. errorsarlm in package spdep). Instead, I would like 
to calculate the significance tests of my (non-spatial) regression model using the 
reduced degrees of freedom. I know that there is the Duttileul's method (Duttileul 
1993) in other software packages which does exactly this. Is there anything 
comparable in R? Is there a function in the spdep (or any other) package which 
allows this to be computed?

I am very happy to get feedback.

Best regards
Daniel

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W. Daniel Kissling
Community & Macroecology Group
Institut für Zoologie, Abteilung Ökologie
Johannes Gutenberg-Universität Mainz
D-55099 Mainz, Germany

Tel. +49 (0)6131 3925200  
Fax +49 (0)6131 3923731 
E-mail: kissling at uni-mainz.de

Personal: http://www.danielkissling.de/
Research Group: http://www.oekologie.biologie.uni-mainz.de/commecol/main.html
Virtual Institute Macroecology: http://www.ufz.de/index.php?en=6302
Centre of Macroecology: http://www.macroecology.ku.dk/