2006
DOI: 10.2193/0022-541x(2006)70[337:daaors]2.0.co;2
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Design and Analysis of Resource Selection Studies for Categorical Resource Variables

Abstract: Design and analysis of resource selection studies, where resources, such as habitats, are categorical have been commonly used for the past four decades. These methods have been evaluated, criticized, modified, and extended in the wildlife and statistical science literature. In this paper, we review some of the history of resource selection studies and place these studies in the context of wildlife science. Several variations of resource studies are presented along with historical data sets to illustrate the ty… Show more

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Cited by 61 publications
(40 citation statements)
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References 66 publications
(114 reference statements)
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“…The null hypothesis was that wild boars randomly selected areas used or not by livestock in proportion to availability (Manly et al 1993). When the observed and expected use of areas differed significantly from that based on availability, we used Bonferroni's confidence intervals to detect significant selection or avoidance of areas by wild boar (Manly et al 1993;Alldredge and Griswold 2006). In addition, within livestock grazing areas, we distinguished between the areas used by cattle and those used by sheep.…”
Section: Resource Selection Analysismentioning
confidence: 99%
“…The null hypothesis was that wild boars randomly selected areas used or not by livestock in proportion to availability (Manly et al 1993). When the observed and expected use of areas differed significantly from that based on availability, we used Bonferroni's confidence intervals to detect significant selection or avoidance of areas by wild boar (Manly et al 1993;Alldredge and Griswold 2006). In addition, within livestock grazing areas, we distinguished between the areas used by cattle and those used by sheep.…”
Section: Resource Selection Analysismentioning
confidence: 99%
“…This is partly due to the difficulty in meeting model assumptions of conventional selection analyses that rely on a spatially implicit framework to assess whether habitat use is nonrandom with respect to the available habitat (Manly et al 2002, Alldredge andGriswold 2006). For example, many conventional analyses require well-defined habitat categories within well-defined use areas at individual or population levels.…”
Section: Introductionmentioning
confidence: 99%
“…We used diagnostic statistics to examine the assumption of independence of model predictors and identify possible confounding factors (Alldredge and Griswold 2006). We assessed whether land-cover composition differed by site with chi-squared tests.…”
Section: Meso-scale Statistical Analysesmentioning
confidence: 99%