Dear Fellow Members, I have a data set consisting of 1000+ variables, each having spatio-temporal data. I want to access and filter the variables that show evidence of spatial patterns so that I can model spatial behavior accordingly.
For a univariate spatial data, one could plot empirical variograms and visually assess the presence of spatial pattern in the data. I don't have that luxury with 1000+ variables. What is your suggestion to do this in an automated fashion? I'm thinking calculating a spatial correlation measure like Moran's I for each variable and at each time point and assess by summarizing appropriately. What are my alternatives? Appreciate your time. - Surya _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
