Dear list, Recently I used a Spatial Eigenvector Generalized Linear Model (SEVM-GLM) to understand whales distribution in Rio de Janeiro in spdep package and when I compared the SEVM-GLM with a "normal" GLM (as the example in page118 indicated) I had no differences (p>0.05) between them.
What does it mean? Does it mean I have no differences in the results between these models, and therefore the SEVM-GLM does not improve the analysis? Or does it mean I have no autocorrelation effects in residuals, and therefore not needed to do a SEVM-GLM (I did a Moran's test and found autocorrelation among the residuals)? I hope someone can help me Many thanks in advance, Rodrigo -- Rodrigo Tardin Doutorando em Ecologia e Conservação - IBRAG - UERJ Mestre em Biologia Animal - PPGBA - UFRRJ Especialista em Docência do Ensino Superior - IAVM Laboratório de Bioacústica e Ecologia de Cetáceos - UFRRJ/ IF/ DCA [[alternative HTML version deleted]]
_______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo