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Inferring Patterns and Dynamics of Species Occurrence

"Occupancy Estimation and Modeling" was published by Elsevier Science & Technology Books in 2017 - England - London, United Kingdom ;, the book is classified in bibliography genre, it has 1 pages and the language of the book is English.


“Occupancy Estimation and Modeling” Metadata:

  • Title: ➤  Occupancy Estimation and Modeling
  • Author:
  • Language: English
  • Number of Pages: 1
  • Publisher: ➤  Elsevier Science & Technology Books
  • Publish Date:
  • Publish Location: ➤  England - London, United Kingdom ;
  • Genres: bibliography
  • Library of Congress Classification: QL752.O23 2018

“Occupancy Estimation and Modeling” Subjects and Themes:

Edition Specifications:

  • Number of Pages: ➤  xxiii, 641 pages : illustrations (some color), maps (some color) ; 23 cm
  • Pagination: xxiii, 641

Edition Identifiers:

AI-generated Review of “Occupancy Estimation and Modeling”:


"Occupancy Estimation and Modeling" Table Of Contents:

  • 1- Part I. background and concepts. 1. Introduction ; 2. Occupancy applications ; 3. Fundamental principles of statistical inference
  • 2- Part II. Single
  • 3- pecies, single
  • 4- eason occupancy models. 4. Basic presence/absence situation ; 5. Beyond two occupancy states ; 6. Extensions to basic approaches ; 7. Modeling heterogeneous detection probabilities
  • 5- Part III. Single
  • 6- pecies, multiple
  • 7- eason occupancy. 8. Basic presence/absence situation ; 9. More than two occupancy states ; 10. Further topics
  • 8- Part IV. Study design. 11. Design of single
  • 9- eason occupancy studies ; 12. Multiple
  • 10- eason study design
  • 11- Part V. Advanced topics. 13. Integrated modeling of habitat and occupancy dynamics ; 14. Species co
  • 12- ccurrence ; 15. Occupancy in community
  • 13- evel studies ; 16. Final comments.

"Occupancy Estimation and Modeling" Description:

Open Data:

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides anïŽimproved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is providedïŽregarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling

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