SAGE: A sampling-aware global evaluation benchmark for species distribution modeling

arXiv:2609.31082 · cs.LG, q-bio.PE, stat.ML · Submitted 2026-09-25 · Read on arXiv

cs.LG, q-bio.PE, stat.ML

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/earens/sage-sdm-benchmark

Project page: https://earens.github.io/sage

Terminology

• AUROC — 42× in this paper · explained in 2 episodes
• Benchmark — 28× in this paper · explained in 2 episodes
• Aggregation — 25× in this paper · explained in 1 episode
• Loss Function — 10× in this paper · explained in 2 episodes
• Random Forests — 9× in this paper
• Transformer — 7× in this paper · explained in 2 episodes
• AUC — 5× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Regularization — 5× in this paper · explained in 3 episodes
• Sampling-Aware Global Evaluation — 5× in this paper
• Abundance — 3× in this paper · explained in 1 episode
• Generalized Additive Model — 3× in this paper
• Generalized Linear Model — 3× in this paper
• Sampling Biases — 3× in this paper · explained in 2 episodes
• AdamW Optimizer — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Boosted Regression Trees — 2× in this paper
• Global Biodiversity Information Facility — 2× in this paper
• Plants of the World Online — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• World Checklist of Vascular Plants — 2× in this paper
• Ablation — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• International Union for Conservation of Nature — 1× in this paper
• Selection Bias — 1× in this paper · explained in 4 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• GeoPlant: Spatial Plant Species Prediction Dataset

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