Joonhyung Park

Comparing Random K-Fold and Spatial Block Cross-Validation for Predicting Post-Fire Vegetation Recovery

Spatial autocorrelation (SAC) can make random cross-validation optimistic for ecological and remote-sensing data, so spatial block cross-validation (SBCV) is widely recommended. How much SBCV changes model assessment depends on how far SAC extends relative to training–test separa...