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

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Title: Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
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
Authors: Darryl I. MacKenzie, James D. Nichols, J. Andrew Royle, Kenneth H. Pollock, Larissa Bailey, James E. Hines
Resource Type: eBook.
Subjects: Animal populations--Estimates, Animal populations--Mathematical models
Categories: SCIENCE / Life Sciences / Biology, TECHNOLOGY & ENGINEERING / Power Resources / General
Database: eBook Collection (EBSCOhost)
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 166224
RelevancyScore: 1005
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1004.98577880859
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  Data: Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
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  Label: Description
  Group: Ab
  Data: 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
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Darryl+I%2E+MacKenzie%22">Darryl I. MacKenzie</searchLink><br /><searchLink fieldCode="AR" term="%22James+D%2E+Nichols%22">James D. Nichols</searchLink><br /><searchLink fieldCode="AR" term="%22J%2E+Andrew+Royle%22">J. Andrew Royle</searchLink><br /><searchLink fieldCode="AR" term="%22Kenneth+H%2E+Pollock%22">Kenneth H. Pollock</searchLink><br /><searchLink fieldCode="AR" term="%22Larissa+Bailey%22">Larissa Bailey</searchLink><br /><searchLink fieldCode="AR" term="%22James+E%2E+Hines%22">James E. Hines</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Animal+populations--Estimates%22">Animal populations--Estimates</searchLink><br /><searchLink fieldCode="DE" term="%22Animal+populations--Mathematical+models%22">Animal populations--Mathematical models</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 591.788015118
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Animal populations--Estimates
        Type: general
      – SubjectFull: Animal populations--Mathematical models
        Type: general
    Titles:
      – TitleFull: Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Darryl I. MacKenzie
      – PersonEntity:
          Name:
            NameFull: James D. Nichols
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            NameFull: J. Andrew Royle
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            NameFull: Kenneth H. Pollock
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            NameFull: Larissa Bailey
      – PersonEntity:
          Name:
            NameFull: James E. Hines
      – PersonEntity:
          Name:
            NameFull: Darryl I. MacKenzie
      – PersonEntity:
          Name:
            NameFull: James D. Nichols
      – PersonEntity:
          Name:
            NameFull: J. Andrew Royle
      – PersonEntity:
          Name:
            NameFull: Kenneth H. Pollock
      – PersonEntity:
          Name:
            NameFull: Larissa Bailey
      – PersonEntity:
          Name:
            NameFull: James E. Hines
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2006
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780120887668
            – Type: isbn-electronic
              Value: 9780080455044
          Titles:
            – TitleFull: Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence
              Type: main
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