I don't know this particular package well, but I believe "party" contains something called "mob" which creates a regression tree terminating in different models at each node. Could that be adapted to your project?
On Thursday, August 7, 2014, Craig Aumann <craigaum...@gmail.com> wrote: > I'm struggling with the best way to apply different predictive models over > different geographical areas of a raster stack. > > The context of the problem is that different predictive models are > developed within different polygonal regions of the overall study area. > Each model needs to be used to predict an outcome for just the geographic > area for which it was developed. Every pixel has one and only one > predictive model, but the model changes across different regions of the > landscape. The models come from a "random forest" fit. > > The problem is that the rasterstack is rather large both in terms of number > of pixels and also the number of layers which the predictive model needs to > use. If the problem were smaller, there are a number of things I could > "get away with" in terms of how I would do this, but given the problem > size, I need a more cunning solution. > > Ideally, I would like to only call predict from the package Raster just > once, and have the predict function call the right model based on the > geographical location of the pixel. However, not clear that this is > possible with the Raster Package, or if it is possible how to implement it > efficiently. > > Any ideas or suggestions greatly appreciated. > > Cheers! > Craig > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org <javascript:;> 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. > -- ____________________________ Ersatzistician and Chutzpahthologist I can answer any question. "I don't know" is an answer. "I don't know yet" is a better answer. "I can write better than anybody who can write faster, and I can write faster than anybody who can write better" AJ Leibling [[alternative HTML version deleted]] ______________________________________________ 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.
