Tomislav Hengl: “Automated predictive mapping using Ensemble Machine Learning“

Summary: Package landmap and function provide functionality for fitting Ensemble Machine Learning models where both geographical distance and features (gridded layers) are used to produce spatial interpolations. This is an all integrative approach to geostatistical mapping where multiple machine learning techniques are combined with variogram modeling and spatial cross-validation. For geographical distances we use by default oblique geographic coordinates, although these could be further ext
Back to Top