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) ? Thanks Chris ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
