Dear list members, I have a large dataset with point data. Each data point has X, Y, number of species present and values for one single explanatory variable. Each point was generated from a polygon grid shapefile and they are at equal distances.
I conducted GLS analyses introducing variance structures and correlation structures to improve the model. I plotted variograms before and after adding the correlation structures but I would like to be able to conduct a test that gives me actual values for spatial autocorrelation, so that I can show whether adding the correlation structures improved significantly the model. My variograms do not seem to improve after adding the correlation structures so I don't know if I am conducting the right analyses. Many thanks in advance Daniel -- View this message in context: http://r.789695.n4.nabble.com/Spatial-regression-tp4638512.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [email protected] 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.
