conventional cross-validation techniques for model selection and model assessment, spatial dependence between training and test … bias in cross-validation errors of tree-based algorithms induced by spatial autocorrelation and proposes a bias …-reduced spatial cross-validation strategy. The findings confirm that error estimates from non-spatial resampling methods are overly …

on more advanced topics like validation and sensitivity analysis. Agent-based simulations are an increasingly popular …