Cargando…
Joint estimation over multiple individuals improves behavioural state inference from animal movement data
State-space models provide a powerful way to scale up inference of movement behaviours from individuals to populations when the inference is made across multiple individuals. Here, I show how a joint estimation approach that assumes individuals share identical movement parameters can lead to improve...
Autor principal: | Jonsen, Ian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745009/ https://www.ncbi.nlm.nih.gov/pubmed/26853261 http://dx.doi.org/10.1038/srep20625 |
Ejemplares similares
-
Inferring Animal Densities from Tracking Data Using Markov Chains
por: Whitehead, Hal, et al.
Publicado: (2013) -
Incorrect Likelihood Methods Were Used to Infer Scaling Laws of Marine Predator Search Behaviour
por: Edwards, Andrew M., et al.
Publicado: (2012) -
Putting the behavior into animal movement modeling: Improved activity budgets from use of ancillary tag information
por: Bestley, Sophie, et al.
Publicado: (2016) -
Linking movement and dive data to prey distribution models: new insights in foraging behaviour and potential pitfalls of movement analyses
por: Florko, Katie R. N., et al.
Publicado: (2023) -
Caution is warranted when using animal space-use and movement to infer behavioral states
por: Buderman, Frances E., et al.
Publicado: (2021)