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

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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 m 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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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 m 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.

37 review for Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

  1. 5 out of 5

    Chris

    I didn't get through the last few chapters before I had to mail it back to my bosses, but I'm counting it on Goodreads anyway. I read what was pertinent for my current job, and I don't anticipate needing to model multiple-species interactions anytime soon. Fairly well-written and logical from my perspective, but I'm not sure how understandable it would be to someone completely unfamiliar with occupancy modelling. I didn't get through the last few chapters before I had to mail it back to my bosses, but I'm counting it on Goodreads anyway. I read what was pertinent for my current job, and I don't anticipate needing to model multiple-species interactions anytime soon. Fairly well-written and logical from my perspective, but I'm not sure how understandable it would be to someone completely unfamiliar with occupancy modelling.

  2. 5 out of 5

    Jasmin

    Extremely insightful and detailed look at occupancy estimation and modeling. However, it is very dense and full of difficult concepts which often made it challenging for me (someone very new to modeling) to understand and find what I needed.

  3. 4 out of 5

    Morgan

    They provide code!

  4. 5 out of 5

    Aaron Willmott

  5. 5 out of 5

    Lee Jones

  6. 4 out of 5

    Ben Rawson

    great read, looking forward to trying to put some of this stuff into practice

  7. 5 out of 5

    Francisco

  8. 5 out of 5

    Buyandelger Suuri

  9. 5 out of 5

    Wulan

  10. 4 out of 5

    Cristian

  11. 4 out of 5

    Douglas Tempel

  12. 5 out of 5

    Julia

  13. 5 out of 5

    Sarah

  14. 4 out of 5

    Caryn

  15. 4 out of 5

    Jose Luis Mena

  16. 4 out of 5

    Matt Williamson

  17. 4 out of 5

    Auriel Fournier

  18. 4 out of 5

    Nurul

  19. 5 out of 5

    Vanessa Mintzer

  20. 4 out of 5

    Brad W. Alexander

  21. 5 out of 5

    Terry Johnson

  22. 4 out of 5

    Agung

  23. 5 out of 5

    Shelly

  24. 4 out of 5

    Rebecca

  25. 4 out of 5

    Toryn Green

  26. 5 out of 5

    Arwen Twinkle Griffioen

  27. 5 out of 5

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  28. 4 out of 5

    Seth

  29. 4 out of 5

    Yang

  30. 5 out of 5

    Elani

  31. 4 out of 5

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  32. 4 out of 5

    Kate

  33. 4 out of 5

    Jenny

  34. 5 out of 5

    BookDB

  35. 4 out of 5

    Michelle

  36. 5 out of 5

    Nadiya Novalina

  37. 4 out of 5

    Arpat Ozgul

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