2018/06/22 by Christoffer Moesgaard Albertsen, Albertsen, Christoffer Moesgaard · 1 citation
Engineering · Environmental Science · #FOS: Biological sciences #Maritime Navigation and Safety #Quantitative Methods (q-bio.QM) #Water Quality Monitoring Technologies
paper · pdf · doi:10.48550/arxiv.1806.08582
openalex publication_date 2018/06/22 · openalex created_date 2022/10/05 · openalex updated_date 2026/07/28
Animal telemetry data are often analysed with discrete time movement models\nassuming rotation in the movement. These models are defined with equidistant\ndistant time steps. However, telemetry data from marine animals are observed\nirregularly. To account for irregular data, a time-irregularised\nfirst-difference correlated random walk model with drift is introduced. The\nmodel generalizes the commonly used first-difference correlated random walk\nwith regular time steps by allowing irregular time steps, including a drift\nterm, and by allowing different autocorrelation in the two coordinates. The\nmodel is applied to data from a ringed seal collected through the Argos\nsatellite system, and is compared to related movement models through\nsimulations. Accounting for irregular data in the movement model results in\naccurate parameter estimates and reconstruction of movement paths. Measured by\ndistance, the introduced model can provide more accurate movement paths than\nthe regular time counterpart. Extracting accurate movement paths from uncertain\ntelemetry data is important for evaluating space use patterns for marine\nanimals, which in turn is crucial for management. Further, handling irregular\ndata directly in the movement model allows efficient simultaneous analysis of\nseveral animals.\n