Journal
ECOLOGY
Volume 89, Issue 5, Pages 1208-1215Publisher
WILEY
DOI: 10.1890/07-1032.1
Keywords
argos location; Callorhinus ursinus; correlated random walk; harbor seal; integrated stochastic process; kalman filter; marine mammals; northern fur seal; Phoca vitulina; satellite telemetry; state space model
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We propose a continuous-time version of the correlated random walk model for animal telemetry data. The continuous-time formulation allows data that have been nonuniformly collected over time to be modeled without subsampling, interpolation, or aggregation to obtain a set of locations uniformly spaced in time. The model is derived from a continuous-time Ornstein-Uhlenbeck velocity process that is integrated to form a location process. The continuous-time model was placed into a state-space framework to allow parameter estimation and location predictions from observed animal locations. Two previously unpublished marine mammal telemetry data sets were analyzed to illustrate use of the model, by-products available from the analysis, and different modifications which are possible. A harbor seal data set was analyzed with a model that incorporates the proportion of each hour spent on land. Also, a northern fur seal pup data set was analyzed with a random drift component to account for directed travel and ocean currents.
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