foieGras (0.4.0)

Fit Continuous-Time State-Space and Latent Variable Models for Filtering Argos Satellite (and Other) Telemetry Data and Estimating Movement Behaviour.

Fits continuous-time random walk and correlated random walk state-space models to filter animal tracking data ('Argos', processed light-level 'geolocation', 'GPS'). Template Model Builder ('TMB') is used for fast estimation. The 'Argos' data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). Latent variable models are provided to estimate move persistence along tracks as an index of behaviour. 'Jonsen I', 'McMahon CR', 'Patterson TA', 'Auger-Methe M', 'Harcourt R', 'Hindell MA', 'Bestley S' (2019) Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100:e02566 .

Maintainer: Ian Jonsen
Author(s): Ian Jonsen [aut, cre], Toby Patterson [aut, ctb]

License: MIT + file LICENSE

Uses: argosfilter, dplyr, furrr, future, ggplot2, gridExtra, lubridate, rworldmap, sf, stringr, tibble, tidyr, TMB, testthat, rgeos, knitr, rmarkdown, covr, units

Released 2 months ago.