error multiplication factor(s) for GPS locations, can be a scalar (x = y) or vector of length 2 (x != y)

error multiplication factors for Argos longitude classes 3, 2, 1, 0, A, B (Z assumed equal to B)

emf.x

error multiplication factors for Argos latitude classes 3, 2, 1, 0, A, B (Z assumed equal to B)

emf.y

Fits continuous-time random walk and correlated random walk state-space models for quality control 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-M<c3><a9>th<c3><a9> 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 <doi:10.1002/ecy.2566>.

Ian Jonsen

foieGras

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

emf: emf

Description

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