Using calibrated EBK model for forward modeling (no input features)
I am wanting to use Empirical Bayesian Kriging for forward modeling. Since EBK is a geostatistical model that is calibrated based on data from input features, my thinking is that it should also be possible to create a prediction surface using different explanatory raster layers than the ones initially used to calibrate the model. In my case, I have feature data from climate stations and explanatory rasters that all represent a historical climate. I used this historical data to calibrate an EBK model and create a prediction surface. Now, with the calibrated model, is it possible to provide the same explanatory raster variables, but for future time periods, in order to create a second prediction surface? In this forward modeling scenario, no input features can be provided (as climate station data from the future doesn't exist, of course). I suppose this would be possible to implement from scratch, but I'm hoping there is a tricky way to do it, perhaps by editing .xml files, or the like, and running the EBK ArcPy function.
I have a screenshot that shows my calibration inputs. But, the geostatistical wizard always asks for input features. To further illustrate, I am wanting to create a second surface without providing an Input Dataset, and using Explanatory Variables called "accm_2070_2099_1.tif", "tmax_2070_2099_1.tif", and "srad_2070_2099_1.tif".
