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