I am currently doing an analysis on a quite huge data set - 250,000 polygons. I have figured out the general Moran's I for a linear model, but when I was trying to do a spatial lag or spatial error model, the error occurs:
Error: cannot allocate vector of size 445.6 Gb
I am using R for the analysis, and I tried to use a sparse matrix but only "LU" sparse method can succeed, and the result is not really good enough.
Any solutions for that, perhaps using spatial regression based on Hadoop? Our lab can spend some budget on that, but won't be large.