[R] Applying Different Predictive Models over Different Geographic subsets of a RasterStack

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

Re: [R] Applying Different Predictive Models over Different Geographic subsets of a RasterStack

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

Re: [R] Applying Different Predictive Models over Different Geographic subsets of a RasterStack

Hi Mitchell, It's a good suggestion, and I had thought of this, but one concern is that the model fit at the end of the terminal nodes would need to be a generalized linear model (the predicted outcomes are factors). Given that the models need to be fit automatically without human guidance, I'm