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A Comparison of Home-Range Estimators Using Monte Carlo Simulation

John G. Boulanger and Gary C. White
The Journal of Wildlife Management
Vol. 54, No. 2 (Apr., 1990), pp. 310-315
Published by: Wiley on behalf of the Wildlife Society
DOI: 10.2307/3809048
Stable URL: http://www.jstor.org/stable/3809048
Page Count: 6
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A Comparison of Home-Range Estimators Using Monte Carlo Simulation
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Abstract

We compared the Fourier series, harmonic mean, minimum convex polygon, and 2 95% ellipse home-range estimators using computer-simulated data with a known home-range area. Data were generated to simulate home ranges with 1 or 2 centers of activity and with topographic barriers causing irregular shapes. Estimators performed with different precision and bias according to the type of data simulated and the number of observations taken. Overall, the harmonic mean was the least biased, but was also one of the least precise. Home-range estimators are only general measures of animal activity.

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