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 .


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install.packages("foieGras")

0.4.0 by Ian Jonsen, a month ago


https://cran.r-project.org/package=foieGras


Report a bug at https://github.com/ianjonsen/foieGras/issues


Browse source code at https://github.com/cran/foieGras


Authors: Ian Jonsen [aut, cre] , Toby Patterson [aut, ctb]


Documentation:   PDF Manual  


Task views: Handling and Analyzing Spatio-Temporal Data


MIT + file LICENSE license


Imports dplyr, tibble, argosfilter, ggplot2, gridExtra, lubridate, TMB, sf, stringr, tidyr, future, furrr, rworldmap, parallel

Suggests testthat, covr, knitr, rmarkdown, units, rgeos

Linking to TMB, RcppEigen

System requirements: C++11, GDAL (>= 2.4.2), GEOS (>= 3.7.0), PROJ (>= 5.2.0)


See at CRAN