I'm trying to fit an adaptive GWR model using the spgwr package but ran into
some problems.
Specifically, what I'm trying to do is to plug the optimal percentage generated
by the gwr.sel function into the gwr function.
This is my model's layout:
coords<-cbind(data$X_COORD, data$Y_COORD)
percentage<-gwr.sel(Y ~ X1 + X2, data = data, coords = coords, adapt=TRUE,
longlat=TRUE)
adaptive.model<-gwr(Y ~ X1 + X2, data = data, coords = coords,
adapt=percentage, longlat=TRUE)
But the gwr.sel function won't pass a value to the gwr function. It seems that
gwr.sel fails to converge. It just stops without giving any error messages.
This is the output I've got:
Adaptive q: 0.381966 CV score: 4.635847e+14
Adaptive q: 0.618034 CV score: 4.969922e+14
Adaptive q: 0.236068 CV score: 4.256574e+14
Adaptive q: 0.1458980 CV score: 3.818798e+14
Adaptive q: 0.09016994 CV score: 3.386485e+14
Adaptive q: 0.05572809 CV score: 2.959508e+14
Adaptive q: 0.03444185 CV score: 2.516265e+14
Are there any known issues with the gwr.sel function?
-- Adalberto Pineda.
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