Abstract
We propose a flexible model for a partially migrating species, which we demonstrate using yearly paths for golden eagles (Aquila chrysaetos). Our model relies on a smoothly time-varying potential surface defined by a number of attractors. We compare our proposed approach using varying coefficients to a latent-state model, which we define differently for migrating, dispersing, and local individuals. While latent-state models are more common in the existing animal movement literature, varying coefficient models have various benefits including the ability to fit a wide range of movement strategies without the need for major model adjustments. We compare simulations from the models for three individuals to illustrate the ability of our model to better describe movement behavior for specific movement strategies. We also demonstrate the flexibility of our model by fitting several individuals whose movement behavior is less stereotypical.
Original language | English (US) |
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Article number | 100637 |
Journal | Spatial Statistics |
Volume | 50 |
DOIs | |
State | Published - Aug 2022 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Computers in Earth Sciences
- Management, Monitoring, Policy and Law