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Found 2 papers, 2 papers with code
mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R
This contribution reviews the state-of-the-art in spatial and spatiotemporal cross-validation, and introduces the {R} package {mlr3spatiotempcv} as an extension package of the machine-learning framework {mlr3}.
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
Results show that GAM and RF (mean AUROC estimates 0. 708 and 0. 699) outperform all other methods in predictive accuracy.
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