Software requirements: opengeohub/r-geo docker image (R, rgdal, terra, mlr3), QGIS, Google Earth Pro Content: This tutorial is an introduction to Ensemble Machine Learning, covering the use of the mlr3 framework, selection of learners, fine-tuning, feature selection and model stacking. The focus is on using Machine Learning with spatial and spatiotemporal data, covering spatial interpolation with landmap package (vs geoR and similar geostatistical software), adding geographical distances and features to spatial interpolation, and fitting and using EML for predicting eumap land cover data (Witjes et al, 2021).