Closed oldi closed 4 years ago
Hmmm great question. What are you comparing it to? My guess is that in most standard SDM's it's converting the variable into a series of categorical variables (binary variables for each category), and you can do that here for the same effect.
Yes, some others (e.g. Maxent) creates dummy variables and uses these for the model. Then for prediction I think the rasters could work as they are. I will try and comment here again. Thanks
Sounds good!
I am starting with the embarcadero package as I would like to compare bayesian-SDMs with standard SDMs. However, I really need to include a categorical raster map (geology in my case) to model a plant species. It is very likely confined to special substrates and this would be important to consider.
Yet, the bart function does not accept a factorial parameter. Any workarounds known?