A continuous-time state-space model for rapid quality control of argos locations from animal-borne tags.
Ian D JonsenToby A PattersonDaniel P CostaPhilip D DohertyBrendan J GodleyW James GrecianChristophe GuinetXavier HoennerSarah S KienlePatrick W RobinsonStephen C VotierScott WhitingMatthew J WittMark A HindellRobert G HarcourtClive R McMahonPublished in: Movement ecology (2020)
Our model provides quality-controlled locations from Argos Least-Squares or Kalman filter data with accuracy similar to or marginally better than Argos Kalman smoother data that are only available via fee-based reprocessing. Simplicity and ease of use make the model suitable both for automated quality control of near real-time Argos data and for manual use by researchers working with historical Argos data.