A local nearest-neighbor convex-hull construction of home ranges and utilization distributions

By Wayne M. Getz, C. Wilmers. 2004

443 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/05cd9916beabfe5d6c6f1fee3ea4b43bfd080ab9

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Citations in the corpus

Grizzly bear and human interaction in Yellowstone National Park: An evaluation of bear management areas (2013, methodology): “We created individual home ranges using the k nearest neighbor convex hull method (k-LoCoH) with k ¼ ffiffiffinp =2ð Þ (Getz and Wilmers 2004, Getz et al. 2007).”
Land sharing is essential for snow leopard conservation (2016, background): “While Kernel is considered more accurate than MCP (Börger et al., 2006), both have been criticized for including areas that are not used by the animals (Getz and Wilmers, 2004; Getz et al., 2007).”
Behavioural adjustments of a large carnivore to access secondary prey in a human‐dominated landscape (2012, methodology): “Lion home ranges were calculated using the local convex hull (LoCoH) non parametric kernel method (Getz & Wilmers 2004; Getz et al. 2007) with heuristic value k = Ön (n is the number 9 of points in the set).”
Functional connectivity within conservation networks: Delineating corridors for African elephants (2013, methodology): “The local convex hull (LoCoH) nonparametric kernel method was used to generate a home range for each individual (Getz and Wilmers 2004).”
Social dominance, seasonal movements, and spatial segregation in African elephants: a contribution to conservation behavior (2007, methodology): “The local convex-hull construction in LoCoH depends on a user-selected parameter k, the number of nearest neighbors to be included in hulls, which we calculated to be 20 for dry and 15 for wet season data sets following procedures in Getz and Wilmers (2004). The spatial analyst extension of ArcView ”
Effects of sampling regime on the mean and variance of home range size estimates. (2006, unknown): “Worton 1995b; Burgman & Fox 2003; Getz & Wilmers 2004 ).”
Estimating Utilization Distributions with Kernel Versus Local Convex Hull Methods (2011, methodology): “At n ¼ N, the LCH UD is a uniform polygon whose outline is identical to the MCP (Getz and Wilmers 2004).”
Home range size of adult Indo-Pacific bottlenose dolphins (Tursiops aduncus) in a coastal and estuarine system is habitat and sex-specific (2016, methodology): “Therefore, using methods that account for barriers is important to eliminate this potential bias and improve the accuracy of the estimated home range (e.g., Getz and Wilmers 2004, Knight et al. 2009, Benhamou and Cornelis 2010).”
What Is the Proper Methodto Delineate Home Range of anAnimal Using Today’s AdvancedGPS Telemetry Systems: The Initial Step (2011, unknown): “…local convex hull nonparametric kernel method, which generalizes the minimum convex polygon method, was investigated for identifying hard boundaries (i.e. rivers, canyons) of home ranges but has not been evaluated with GPS datasets with >1,000 locations (Getz & Wilmers 2004; Getz et al., 2007).”