… spatial or spatial-temporal data. 'caret' is a frequently used package for model training and
… CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. …

… RF was one of the ML models employed in this study where derived spatial–temporal RS …
The authors did not explore other ML models since the RF was already proven to be one of …

This dataset is the first version of the predictions, expected model error, and area of applicability
of the global soil organic carbon in tidal marshes at a 30 m resolution. All methods are …

… , it is possible to model microbial spatial-temporal dynamics and make informed extrapolations
for large regions of the globe. Spatial-temporal models of soil biological communities can …

… spatial-temporal predictions of crop yields and estimate the area of applicability of the models.
The … Cast: ’caret’ applications for spatial-temporal models [R package version 1.0.0, https://…

… as predictors and included in models. This study uses autocorrelated spatial data to
investigate the sensitivity of machine learning applications to commonly applied geolocation …