Models provided are DCRW (for location filtering), DCRWS (for
location filtering and behavioural state estimation), and their hierarchical
versions (hDCRW, hDCRWS) to estimate parameters jointly across multiple
individual tracking datasets. The models are fit in JAGS using Markov chain
Monte Carlo simulation methods. The models are intended to be fit to Argos
satellite tracking data but options exist to allow fits to other tracking
data types (type
?fit_ssm for details).
Fit Bayesian state-space models to Argos satellite tracking data. Models provided are DCRW - for location filtering; DCRWS - for location filtering and behavioural state estimation with 2 behavioural states; hDCRW and hDCRWS - hierarchical models for location filtering only, and location filtering with behavioural state estimation, respectively, across multiple animals.
The hierarchical models may provide improved location and/or behavioural state estimates compared to fitting DCRW/DCRWS to individual datasets.
Maintainer: Ian Jonsen <[email protected]>
Jonsen ID, Mills Flemming J, Myers RA (2005) Robust state-space modeling of animal movement data. Ecology 86:2874-2880
Jonsen ID (2016) Joint estimation over multiple individuals improves behavioural state inference from animal movement data. Scientific Reports 6:20625
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