Fit Continuous-Time State-Space Models for Filtering Argos Satellite (and Other) Telemetry Data

Fits continuous-time random walk and correlated random walk state-space models to filter Argos satellite location data. 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. Separate measurement models are used for these two data types. 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). 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 .


Reference manual

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0.2.2 by Ian Jonsen, 3 months ago

Browse source code at

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

Documentation:   PDF Manual  

Task views: Handling and Analyzing Spatio-Temporal Data

AGPL-3 license

Imports dplyr, tibble, argosfilter, ggplot2, gridExtra, lubridate, TMB, sf, stringr, magrittr

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

Linking to TMB, RcppEigen

See at CRAN