On Sat, 28 Mar 2009, Corey Sparks wrote:
The problems is that you are sending the bandwidth (percentage) to the wrong
argument of gwr
try:
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=TRUE,
bandwidth=percentage, longlat=TRUE)
that should do the trick
In addition, the model does have a major scaling problem, as can be seen
by the CVS scores. Consider re-scaling the variables in the model, and you
may find that gwr.sel() has an easier time.
Roger
Corey
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?
Corey Sparks
Assistant Professor
Department of Demography and Organization Studies
College of Public Policy
One UTSA Circle
San Antonio, TX 78239
[email protected]
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--
Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Helleveien 30, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: [email protected]
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