Accounting for unobserved spatial variation in step selection analyses of animal movement via spatial random effects
Abstract Step selection analysis (SSA) is a common framework for understanding animal movement and resource selection using telemetry data. Such data are, however, inherently autocorrelated in space, a complication that could impact SSA‐based inference if left unaddressed. Accounting for spatial cor...
| Published in: | Methods in Ecology and Evolution |
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| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-10-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1111/2041-210X.14208 |
