The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A local nearest‐neighbor convex‐hull construction of home ranges and utilization distributions
Open accessAbstract
We describe a new method for estimating the area of home ranges and constructing utilization distributions (UDs) from spatial data. We compare our method with bivariate kernel and α‐hull methods, using both randomly distributed and highly aggregated data to test the accuracy of area estimates and UD isopleth construction. The data variously contain holes, corners, and corridors linking high use areas. Our method is based on taking the union of the minimum convex polygons (MCP) associated with the k−1 nearest neighbors of each point in the data and, as such, has one free parameter k. We propose a “minimum spurious hole covering” (MSHC) rule for selecting k and interpret its application in terms of type I and type II statistical errors. Our MSHC rule provides estimates within 12% of true area values for all 5 data sets, while kernel methods are worse in all cases: in one case overestimating area by a factor of 10 and in another case underestimating area by a factor of 50. Our method also constructs much better estimates for the density isopleths of the UDs than kernel methods. The α‐hull method does not lead directly to the construction of isopleths and also does not always include all points in the constructed home range. Finally we demonstrate that kernel methods, unlike our method and the α‐hull method, does not converges to the true area represented by the data as the number of data points increase.
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Cites
Density Estimation for Statistics and Data Analysis
Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,796
Density Estimation for Statistics and Data Analysis
(1986) · Springer eBooks · doi:10.1007/978-1-4899-3324-9 · Cited by 8,525
Lohrli, A. (1985) · Notes and Queries · doi:10.1093/notesj/32.3.377-a · Cited by 4,352
Kernel Methods for Estimating the Utilization Distribution in Home‐Range Studies
Worton, B. J. (1989) · Ecology · doi:10.2307/1938423 · Cited by 4,175
Territoriality and Home Range Concepts as Applied to Mammals
Burt, W. H. (1943) · Journal of Mammalogy · doi:10.2307/1374834 · Cited by 2,538
Ripley, B. D. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316726 · Cited by 2,241
An Evaluation of the Accuracy of Kernel Density Estimators for Home Range Analysis
Seaman, D. E., & Powell, R. A. (1996) · Ecology · doi:10.2307/2265701 · Cited by 1,671
Effects of Sample Size on Kernel Home Range Estimates
Seaman, D. E., Millspaugh, J. J., Kernohan, B. J., Brundige, G. C., Raedeke, K. J., & Gitzen, R. A. (1999) · The Journal of Wildlife Management · doi:10.2307/3802664 · Cited by 1,390
Measurement of non-circular home range
Jennrich, R. I., & Turner, F. B. (1969) · Journal of Theoretical Biology · doi:10.1016/0022-5193(69)90002-2 · Cited by 733
Lacunarity analysis: A general technique for the analysis of spatial patterns
Plotnick, R. E., Gardner, R. H., Hargrove, W. W., Prestegaard, K., & Perlmutter, M. (1996) · Physical Review E · doi:10.1103/physreve.53.5461 · Cited by 582
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Warren, D. L., Glor, R. E., & Turelli, M. (2010) · Ecography · doi:10.1111/j.1600-0587.2009.06142.x · Cited by 1,629
Analysis of Resource Selection Using Utilization Distributions
MILLSPAUGH, J. J., NIELSON, R. M., McDONALD, L., MARZLUFF, J. M., GITZEN, R. A., RITTENHOUSE, C. D., HUBBARD, M. W., & SHERIFF, S. L. (2006) · Journal of Wildlife Management · doi:10.2193/0022-541x(2006)70[384:aorsuu]2.0.co;2 · Cited by 266
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Metadata
- Authors
- Getz, W. M., & Wilmers, C. C.
- Venue
- Ecography
- Publisher
- Wiley
- Published
- 2004-05-19
- Volume
- 27
- Issue
- 4
- Pages
- 489-505
- ISSN
- 0906-7590 (ISSN-L)
- 1600-0587
- OpenAlex
- W2111670491
- Cited by
- 466
- References
- 22
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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