Hi all,I am trying to built a species distribution model with count data (Species Richness) using a GLM. My independent variable are computed at multiple-scales. In order to select which is the best scale for my model, I first calculate a bivariate model for each of the predictor for each scale. So, I know that one possible way to select the best predictor is the use of the AUC, but I don't know if is possible to use the AUC for count data. I have read about presence/absence data (for example in the package DISMO, function evaluate) but never for count data! Any suggestions?Thank you!

                                                                                                                                
Ludovico
Frate

PhD student (University of Molise - Italy)
Environmetrics Lab
http://www.distat.unimol.it/STAT/environmetrica/organico/collaboratori/ludovico-frate-1
Department of Biosciences and Territory - DiBT
Università del Molise.
Contrada Fonte
Lappone, 
86090 -  Pesche (IS)
ITALIA.
Cel: ++39
3333767557
Fax: ++39 (0874) 404123
E-mail ludovico.frate@unimol.it
ludovicofrate@hotmail.it
 		 	   		  
	[[alternative HTML version deleted]]

