Dear all, I would like to use a GWR model in order to spatially predict food insecurity in Africa. I have a georeferenced village data-bases and I've run a "classic" regression model (taking into account the spatial dependence of the errors) that works fairly well for Niger that is a quite homogenous country. Now, I would like to make the same thing for countries where it should be some heterogeneity in the spatial process, so I think it is essential to use a GWR.
The problem comes when I try to get the standard deviation of my predicted values (not of my estimated coefficients). Indeed, this function seems not to be available in R or in any other software that runs GWR (I've checked for STATA and Matlab also). Does somebody know if there is any package that calculates that? If not, I would be interested to get some ideas about how can I program it in R. Thank you very much, Eduardo. -- View this message in context: http://www.nabble.com/GWR-Predictions%27-standard-deviation-tp19900518p19900518.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
