CAST: 'caret' Applications for Spatial-Temporal Models

Description Details Author(s) References


Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial-temporal modelling tasks using 'caret'. It supports Leave-Location-Out and Leave-Time-Out cross-validation of spatial and spatial-temporal models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models by analysing the similarity between new data and training data.


'caret' Applications for Spatio-Temporal models


Hanna Meyer


CAST documentation built on April 7, 2021, 5:09 p.m.