How to encode slope aspect (and other cyclic variables) in environmental ML models
Slope aspect is a predictor in many environmental machine-learning models. Here I compare strategies for dealing with problems caused by the cyclic nature of this directional variable.
Last updated on 12 Jan 2022
9 min read
The wiml Package: Transforming Feature Space to Interpret Machine Learning Models
Partial dependence and ALE plots can be confusing and misleading when interpreting ML models with many correlated features, e.g. in remote sensing. The
package implements a new approach that transforms the feature space, but not the training data. How’s that possible? This post walks you through an application of the proposed approach in remote sensing.
Last updated on 20 Sep 2023
11 min read