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cs.LG2026
STeMP: Spatio-Temporal Modelling Protocol
Jan Linnenbrink, Jakub Nowosad, Marvin Ludwig +4
Spatio-temporal machine-learning modelling is an important tool in environmental research. However, machine-learning models are highly sensitive to both the characteristics of the…
stat.ME2026
Moving beyond spatial and random cross-validation in environmental modelling: a call for prediction-domain adaptive evaluation
Jan Linnenbrink, Jakub Nowosad, Hanna Meyer
With the growing application of spatial predictive modeling in ecology, the question of how to appropriately evaluate the resulting maps has gained increasing attention. While ther…