Mapping

In a previous post I used SuperLearner for Predictive Mapping. Here following guidance from Hefin Rhys’ youtube tutorial and some scripting made available by Tomislav Hengl of OpenGeoHub. I will demonstrate generating a ranger, random forest, model to predict multiclass and probability of each class. Data is currently closed but I hope to make it open down the road. The mlr package (machine learning in r), is a package that acts as a wrapper for numerous machine learning algorithms.

Recently I had the opportunity to attend a machine learning workshop hosted by the provincial BEC Team in Victoria, BC. and led by Tom Hengl of the OpenGeoHub Foudation. During this workshop we worked through various R machine learning packages. I learned some great new skills. The challenge really came down to taking time to understand all the steps – and then to apply it to my data / my projects.

Predictive Ecosystem Mapping