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. 2021 Mar 19;9:e11031. doi: 10.7717/peerj.11031

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©2021 Signer and Fieberg

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

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All home-range estimators will have common attributes (levels, crs [coordinate reference system] and data) and common global methods (hr area() [to obtain the home-range area], hr isopleth() [to obtain the home-range isopleths at the specified levels], hr overlap() [to calculate home-range overlap], and plot()). Probabilistic estimators will also have a common attribute, trast (a template raster for the utilization distribution [UD]), and several additional common methods (hr ud() [to obtain the UD], hr cud() [to obtain a cumulative UD]). Lastly, each individual estimator can have additional properties or methods (e.g., model for hr akde()).