doi: 10.53962/g70r-9s
Created on 2023-03-15.
Last updated on 2023-03-15.
This collection is still being set up.
Key issues in rigorous accuracy assessment of land cover products
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction
Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation
Machine learning-based global maps of ecological variables and the challenge of assessing them
Predicting into unknown space? Estimating the area of applicability of spatial prediction models
Mapping where ecologists work: biases in the global distribution of terrestrial ecological observations
Spatial leave-one-out cross-validation for variable selection in the presence of spatial autocorrelation
Model-free estimation from spatial samples: A reappraisal of classical sampling theory
Cross-validation: what does it estimate and how well does it do it?