patter: Particle algorithms for animal tracking in R and Julia

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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Bibliographic Details
Main Authors: Edward Lavender, Andreas Scheidegger, Carlo Albert, Stanisław W. Biber, Janine Illian, James Thorburn, Sophie Smout, Helen Moor
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Methods in Ecology and Evolution
Subjects:
Bayesian inference
movement ecology
package
particle filter
passive acoustic telemetry
state‐space model
Online Access:https://doi.org/10.1111/2041-210X.70029
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https://doi.org/10.1111/2041-210X.70029

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