Hi

I'm trying to make a model to estimate the number of roberys. I know the
address of these people and the point on the map where they live. I have a
sample of all the country, in different cities, different zones. The
variable can be set to 0,1,2 .....,and it is distributed as a poisson.
Right now I'm using data from the population density from a raster of
european environment agency. For now I want only estimate the number of
roberys, depending on population density, or moving window arround the
people live. In future I would like to include more variables raster-based
style.

I have read that the models used in these cases are GWR, but in a book
specifically speaks about MWR as a good method to estimate in places where
you did not have data to make the regression (this is my situation). I
think GWR need points near the value estimate to give a good estimate. In
my case i don't have these points to estimate because I want to estimate
only considering adaptations of independent variables (...focal by kernel,
or others ).

I've read about GWmodel, gwrr, spgwr .... but I don't have a very clear
idea about what is the best way in my case. Is there any package that has
implemented MWR?, It is possible that I'm wrong, and I can use whith GWR
raster values in areas without sample to estimate?. A good
recommendation?... i'm new in this king of regressions.

I posted the same question in gis secction of stackoverflow.

http://gis.stackexchange.com/questions/67443/moving-window-regression-mwr-in-r

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