Generalizing the first-difference correlated random walk for marine animal movement data.

ABSTRACT: Animal telemetry data are often analysed with discrete time movement models. These models are defined with regular time steps. However, telemetry data from marine animals are observed irregularly. To account for irregular data, a time-irregularised first-difference correlated random walk model with drift is introduced. The model generalizes the commonly used first-difference correlated random walk with regular time steps by allowing irregular time steps, including a drift term, and by allowing different autocorrelation in the two coordinates. The model is applied to data from a ringed seal collected through the Argos satellite system, and is compared to related movement models through simulations. Accounting for irregular data in the movement model results in accurate parameter estimates a

SUBMITTER: Albertsen CM 

PROVIDER: S-EPMC6408531 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature