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patter: Particle algorithms for animal tracking in R and Julia

Abstract State‐space models are a powerful modelling framework in movement ecology that represents individual movements and the processes connecting movements to observations. However, fitting state‐space models to animal‐tracking data can be difficult and computationally expensive. Here, we introdu...

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Главные авторы: Edward Lavender, Andreas Scheidegger, Carlo Albert, Stanisław W. Biber, Janine Illian, James Thorburn, Sophie Smout, Helen Moor
Формат: Artigo
Язык:Inglês
Опубликовано: Wiley 2025-08-01
Серии:Methods in Ecology and Evolution
Предметы:
Bayesian inference
movement ecology
package
particle filter
passive acoustic telemetry
state‐space model
Online-ссылка:https://doi.org/10.1111/2041-210X.70029
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