[R] Using a variable in a covariance structure and as a predictor - is this OK?

From: Chris Mcowen <chrismcowen_at_gmail.com>
Date: Fri, 01 Apr 2011 09:24:02 +0100

Dear list,

I have the model below which i am using to account for spatial autocorrelation:

exponential <-corExp(form = ~ Longitude + Latitude)

explanation_mod_all <- gls(Lower_PD~Area+Elevation+Temperature+Preceipitation+Agriculture+Urban+Human.footprint+Population, correlation = exponential)

I want to see if Latitude and Longitude are significant, is it statistically and methodologically correct to add them to the model i.e

explanation_mod_all <- gls(Lower_PD~Area+Elevation+Temperature+Preceipitation+Agriculture+Urban+Human.footprint+Population+Longitude+Latitude, correlation = exponential) ?



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