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Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species
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Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence Hardback - 2005 - 1st Edition

by Nichols, James D

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Academic Press, 2005-12-01. 1. hardcover. Good. 15.7x2.4x20.9. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence
  • Author Nichols, James D
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 344
  • Volumes 1
  • Language ENG
  • Publisher Academic Press, St Louis, Missouri, U.S.A.
  • Publication date 2005-12-01
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # ANAIS-0120887665
  • ISBN 9780120887668 / 0120887665
  • Weight 1.49 lbs (0.68 kg)
  • Dimensions 8.24 x 6.18 x 0.95 in (20.93 x 15.70 x 2.41 cm)
  • Size 15.7x2.4x20.9
  • Themes
    • Topical: Ecology
  • Category Animals
  • Library of Congress subjects Animal populations - Estimates, Animal populations - Mathematical models
  • Library of Congress Catalogue Number 2005051372
  • Dewey Decimal Code 591.788
  • Quantity available 1

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Reader reviews for Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

From the publisher

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.
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