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Often, the purpose of applying such quantification methods to movement paths is comparison of space use among individuals or species in order to examine such processes as niche partitioning [], yet protocols to achieve consistency across applications are often non-existent.The MCP-based conception of the home range lends itself naturally to some principles of space use in behavioral ecology, such as the general rule that individuals of territorial species often exhibit larger home ranges in relatively lower quality habitat.Kernel Density Estimation (KDE; []) emerged as a popular alternative that overcomes some of the limitations of the MCP method, but numerous parameter choices make comparisons among studies tenuous and replication of results difficult [].While some of the earlier home range delineation methods could be built for multiple individuals simultaneously, many of these more rigorous methods are parameterized for each individual separately.The recently developed Time Local Convex Hull method (T-Lo Co H; [] by explicitly integrating the temporal component of movement data, effectively scaling time with distance in the construction of local point sets, or hulls.

In the case of the recently developed Time Local Convex Hull (T-Lo Co H) method, the subjectivity in parameter selection serves as one of the primary impediments to its more widespread use.

While there are certain advantages to the flexibility it offers for question-driven research, the lack of an objective approach for parameter selection may prevent some users from exploring the benefits of the method.

The KDE-based conception of the home range offers a probabilistic framing of animal space use, but may obscure some of the uncertainty inherent in movement data extracted at discrete time points.

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