Switching state space model for pygmy blue whale satellite tag derived locations

• Format: Dataset
• Language: unknown
• Published: Australian Ocean Data Network
• Subjects: oceans; biota; EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > MAMMALS > CETACEANS > BALEEN WHALES; BIOSPHERE > ECOLOGICAL DYNAMICS > SPECIES/POPULATION INTERACTIONS > USE/FEEDING HABITATS; CLIMATE INDICATORS > BIOSPHERIC INDICATORS > SPECIES MIGRATION; OCEANS > OCEAN CIRCULATION > UPWELLING/DOWNWELLING; SATELLITE TELEMETRY; Computer > Computer; SATELLITES; MODELS; CEOS; AMD/AU; AMD; OCEAN > INDIAN OCEAN > EASTERN INDIAN OCEAN; GEOGRAPHIC REGION > POLAR; BONNEY UPWELLING; GREAT SOUTHERN AUSTRALIAN COASTAL UPWELLING SYSTEM; INDIAN OCEAN; Indian; Bonney; Goff; Balaenoptera musculus; baleen whales; Blue whale
• Online Access: https://researchdata.edu.au/switching-state-space-derived-locations/2819502

Progress Code: completed Purpose This dataset is described in: Moller LM, Attard CRM, Bilgmann K, Andrews-Goff V, Jonsen I, Paton D and Double MC submitted. Movements, occupancy and behaviour of pygmy blue whales (Balaenoptera musculus brevicauda) satellite tagged in the Great Southern Australian Coastal Upwelling System. An R data file containing a hierarchical switching state-space model of pygmy blue whale Argos-collected telemetry data using the bsam package (see Jonsen (2016). Joint estimation over multiple individuals improves behavioural state inference from animal movement data. Scientific Reports 6: 20625.) in R. The model estimated location states for each individual at regular 3-h time intervals, accounting for measurement error in the irregularly observed Argos surface locations; and estimated the behavioural state associated with each location. Satellite tags were deployed on pygmy blue whales located in the Bonney Upwelling region, SA, between 7 January and 16 March 2015. File can be opened in R (A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/ ) using the code: readRDS('bw_3h_ssm.RDS')