Comparability of three analytical techniques to assess joint space use

作者: Joshua J. Millspaugh , Robert A. Gitzen , Brian J. Kernohan , Michael A. Larson , Christopher L. Clay

DOI: 10.2193/0091-7648(2004)32[148:COTATT]2.0.CO;2

关键词: Point distribution modelPoint (geometry)Convex polygonCorrelationOverlap coefficientMathematicsDegree (graph theory)StatisticsPolygonFocus (optics)

摘要: The degree of space-use overlap among adjacent individuals is a central focus many wildlife investigations. We studied the comparability minimum convex polygon and fixed-kernel home-range indices Volume Intersection (VI) scores using simulated data. pairs point patterns to represent telemetry locations varied amount potential in simulation region (100%, 50%, 10%) distribution (random, loosely clumped, tightly clumped). created 1,000 sets (60 points each individual set) for 9 combinations. In all treatment combinations, VI were highest followed by kernel then estimates. Raw differences estimates within greatest when there was 50% overlap, decreased as clumping increased. relative affected most overlap; generally at 10% least 100%. Correlation between index values lowest random patterns, clumped patterns. Although tended indicate least, no consistent correction factor techniques because interacting effects index, pattern, overlap. Interpretation measures requires careful consideration assumptions properties animals under study.

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