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Scale-insensitive estimation of speed and distance traveled from animal tracking data.

Michael J NoonanChristen H FlemingThomas S AkreJonathan Drescher-LehmanEliezer GurarieAutumn-Lynn HarrisonRoland KaysJustin M Calabrese
Published in: Movement ecology (2019)
The methods described in this study allow for the computationally efficient, scale-insensitive estimation of speed and distance traveled, without biases due to the sampling frequency, the tortuosity of the animal's movement, or the amount of measurement error. In addition to being robust to the sampling schedule, the point estimates come equipped with confidence intervals, permitting formal statistical inference. All the methods developed in this study are now freely available in the ctmmR package or the ctmmweb point-and-click web based graphical user interface.
Keyphrases
  • big data