Could anyone point me to a Random Forest tutorial for predicting a spatial random variable? Or an easy dataset to try to work through.
For Decision Trees and Random Forests, I found some very good tutorials from Trevor Stephens, Kaggle, and Datacamp, here, here, and here. But I’d like to look at a spatial example – I’ve come across a lot of literature on this subject but nothing as clear cut as the above links. The closest thing perhaps would be Jeffrey Evan’s code here, but it appears to be unfinished.
