Predicting animal movement with deepSSF: A deep learning step selection framework
Abstract Predictions of animal movement are vital for understanding and managing wild populations. However, the fine‐scale, complex decision‐making of animals can pose challenges for the accurate prediction of trajectories. Integrated step selection functions (iSSFs), a common tool for inferring rel...
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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Wiley
2026-02-01
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| Edice: | Methods in Ecology and Evolution |
| Témata: | |
| On-line přístup: | https://doi.org/10.1111/2041-210x.70136 |
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