SOURCE-LINKED INTELLIGENCE
MoveBench: A Benchmark for Global-Scale Wildlife Movement Forecasting
Understanding and predicting wildlife movement is critical for ecology and conservation. While trajectory forecasting has advanced for human and vehicle movement, wildlife trajectories present distinct challenges: they are unconstrained in space, highly stochastic, and influenced by environmental conditions. We introduce MoveBench, the first large-scale benchmark for probabilistic wildlife movement forecasting, containing 2.6M GPS locations from 800+ individuals across 110 species in 127 countries, paired with 1.6B environmental raster tiles capturing 160 covariates known or hypothesized to in
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T15:59:46.000Z
First collected: 2026-09-20T09:41:04.278Z. This is not the publication date.