Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

LoCoH: nonparameteric kernel methods for constructing home ranges and utilization distributions.

Wayne M Getz1, Scott Fortmann-Roe, Paul C Cross

  • 1Department of Environmental Science, Policy and Management, University of California, Berkeley, California, United States of America. getz@nature.berkeley.edu

Plos One
|February 15, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Understanding mammal avoidance of human settlements.

The Journal of animal ecology·2026
Same author

Habitat selection and outdoor recreation help explain human-mountain lion conflict.

Current biology : CB·2026
Same author

Scavenger Assemblage Behavior at Puma Kills in the Santa Cruz Mountains, California.

Ecology and evolution·2026
Same author

Human shielding from wolves facilitates jackal expansion across Europe.

Nature ecology & evolution·2026
Same author

Interacting effects of human presence and landscape modification on birds and mammals.

Science (New York, N.Y.)·2026
Same author

Toxoplasma gondii: Challenges and Perspectives in Interpreting Longitudinal Seroprevalence Data for a Chronic Parasitic Infection.

Journal of wildlife diseases·2026
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
See all related articles

Local Convex Hull (LoCoH) methods, including adaptive LoCoH (a-LoCoH), are superior for defining animal home ranges and utilization distributions, especially in areas with hard boundaries. These nonparametric methods outperform traditional parametric approaches.

Area of Science:

  • Ecology and Wildlife Biology
  • Spatial Analysis and Geographic Information Systems (GIS)
  • Quantitative Biology and Biostatistics

Background:

  • Parametric kernel methods are standard for animal home range (HR) and utilization distribution (UD) estimation.
  • These parametric methods often fail to accurately represent hard boundaries present in natural environments.
  • Nonparametric methods like Local Convex Hull (LoCoH) offer improved boundary detection and convergence with increasing sample size.

Purpose of the Study:

  • To extend the Local Convex Hull (LoCh) methodology by introducing novel 'fixed sphere-of-influence' (r-LoCoH) and 'adaptive sphere-of-influence' (a-LoCoH) approaches.
  • To compare the performance of these new LoCoH variants (r-LoCoH, a-LoCoH) against the original k-LoCoH and traditional parametric kernel methods.
  • To evaluate the efficacy of LoCoH methods in accurately estimating animal home ranges and utilization distributions, particularly in landscapes with complex boundaries.

Related Experiment Videos

Main Methods:

  • Development and implementation of three LoCoH variants: k-LoCoH (fixed number of neighbors), r-LoCoH (fixed radius), and a-LoCoH (adaptive radius based on distance sums).
  • Comparison of LoCoH methods against parametric kernel methods using simulated datasets.
  • Validation using GPS collar data from African buffalo in Kruger National Park, South Africa, to assess real-world performance.

Main Results:

  • LoCoH methods significantly outperform parametric kernel methods in estimating animal-used areas and excluding unused areas (holes).
  • LoCoH methods effectively capture utilization distributions influenced by hard boundaries and irregular landscape structures.
  • Adaptive LoCoH (a-LoCoH) demonstrated superior performance compared to both k-LoCoH and r-LoCoH across various scenarios.

Conclusions:

  • Nonparametric LoCoH methods, particularly a-LoCoH, provide a more accurate and robust approach for animal home range and utilization distribution estimation.
  • LoCoH's ability to handle hard boundaries and complex structures makes it highly suitable for ecological studies in diverse environments.
  • The developed LoCoH software is publicly available, facilitating broader adoption and application in wildlife research.