Occupancy Estimation and Modeling - Inferring Patterns and Dynamics of Species Occurrence (Hardcover)

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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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Product Description

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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Product Details

General

Imprint

Academic Press Inc

Country of origin

United States

Release date

November 2005

Availability

Expected to ship within 12 - 17 working days

First published

November 2005

Authors

, , , , ,

Dimensions

240 x 163 x 24mm (L x W x T)

Format

Hardcover

Pages

324

ISBN-13

978-0-12-088766-8

Barcode

9780120887668

Categories

LSN

0-12-088766-5



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