Data from: Correcting for missing and irregular data in home-range estimation

Christen H. Fleming, Daniel Sheldon, William F. Fagan, Peter Leimgruber, Thomas Mueller, Dejid Nandintsetseg, Michael J. Noonan, Kirk A. Olson, Edy Setyawan, Abraham Sianipar & Justin M. Calabrese
Home-range estimation is an important application of animal tracking data that is frequently complicated by autocorrelation, sampling irregularity, and small effective sample sizes. We introduce a novel, optimal weighting method that accounts for temporal sampling bias in autocorrelated tracking data. This method corrects for irregular and missing data, such that oversampled times are downweighted and undersampled times are upweighted to minimize error in the home-range estimate. We also introduce computationally efficient algorithms that make this...
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