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Feature
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Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models. * Provides authoritative insights into the latest in estimation modeling* Discusses multiple models which lay the groundwork for future study designs* Addresses critical issues of imperfect detectibility and its effects on estimation* Explores the role of probability in estimating in detail
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