Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.

Additional resources

References

Schratz P, Muenchow J, Iturritxa E, Richter J, Brenning A (2019). “Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data.” Ecological Modelling, 406, 109--120. doi: 10.1016/j.ecolmodel.2019.06.002 .

See also

Author

Maintainer: Patrick Schratz patrick.schratz@gmail.com (ORCID)

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