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Resource selection data is collected in an attempt to measure the extent to
which real animal populations are selective in their choice of food and habitat.
Many statistical techniques are available for analysis of resource selection data.
Even when we restrict attention to data where resources are defined by categories,
the choice of methods is uncomfortably large for the practitioner. In this talk a general
view of catagorical resource selection methods will be presented which allows comparing
techniques examined by Alldrege and Ratti(1986, 1992) to log-linear modeling (Manly, 1993)
and compositional analysis (Aebischer and Robertson, 1993). The general view provides a
strategy for choosing appropriate methods as well as guidance for developement of new methods.
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