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An R-Based Landscape Validation of a Competing Risk Model
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Commentary to: a cross-validation-based approach for delimiting reliable home range estimates.
Eric R Dougherty1, Perry de Valpine1, Colin J Carlson2,3
11Environmental Science, Policy & Management, University of California, Berkeley, USA.
Movement Ecology
|July 17, 2018
Summary
This study revises the Time Local Convex Hull (T-LoCoH) home range method by improving its cross-validation score. The updated approach provides more statistically robust home range estimates for wildlife movement analysis.
Area of Science:
- Ecology
- Wildlife Biology
- Spatial Ecology
Background:
- The Time Local Convex Hull (T-LoCoH) method is used for home range delimitation.
- The original cross-validation approach for T-LoCoH has demonstrated performance issues.
Purpose of the Study:
- To address limitations in the T-LoCoH cross-validation method.
- To introduce a statistically rigorous approach for optimizing home range parameters.
Main Methods:
- Replaced the original cross-validation score with a new formulation based on total log probability of out-of-sample predictions.
- Interpreted normalized LoCoH hulls as probability densities to derive these probabilities.
Main Results:
- Optimal parameter sets derived using the new formulation differ significantly from the original.
- Home range size, revisitation rates, and visit durations are altered by the corrected formulation.
Conclusions:
- The revised cross-validation approach offers a statistically grounded framework for home range analysis.
- This method moves beyond subjective user selections, relying instead on inherent statistical properties of animal movement data.
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