Description

Book Synopsis


Trade Review
"In terms of content, there is little more one could ask for. But even the detailed and careful analyses presented in each chapter cannot fully cover steps that would normally accompany statistical analyses: model diagnostics, quantification of uncertainty, particularly of model predictions, comparison with alternative model structures and so forth. The authors touch on these issues in the first volume, and are clearly aware of them, but it would be impossible and not really informative to add such common procedures to each and every single chapter. Overall this book is a must-have for any statistical ecologist who is working with data in the fields of conservation ecology or wildlife ecology, terrestrial or aquatic. It is not a book for casual reading, and experience with statistical analysis and R in particular are warranted." --Basic and Applied Ecology

Table of Contents
PART 1 MODELS FOR DYNAMIC SYSTEMS1. Relative Abundance Models for Population Dynamics2. Modeling Population Dynamics With Count Data3. Hierarchical Models of Survival4. Modeling Species Distribution and Range Dynamics, and Population Dynamics Using Dynamic Occupancy Models5. Modeling Metacommunity Dynamics Using Dynamic Community Models PART 2 ADVANCED MODELS6. Multi-state Occupancy Models7. Modeling False Positives8. Modeling Interactions Among Species9. Spatial Models of Distribution and Abundance10. Integrated Models for Multiple Types of Data11. Spatially Explicit Distance Sampling Along Transects12. Conclusions

Applied Hierarchical Modeling in Ecology Analysis

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Order before 4pm today for delivery by Fri 19 Dec 2025.

A Hardback by Marc Kery, J. Andrew Royle

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    View other formats and editions of Applied Hierarchical Modeling in Ecology Analysis by Marc Kery

    Publisher: Elsevier Science
    Publication Date: 10/9/2020 12:00:00 AM
    ISBN13: 9780128237687, 978-0128237687
    ISBN10: 0128237686

    Description

    Book Synopsis


    Trade Review
    "In terms of content, there is little more one could ask for. But even the detailed and careful analyses presented in each chapter cannot fully cover steps that would normally accompany statistical analyses: model diagnostics, quantification of uncertainty, particularly of model predictions, comparison with alternative model structures and so forth. The authors touch on these issues in the first volume, and are clearly aware of them, but it would be impossible and not really informative to add such common procedures to each and every single chapter. Overall this book is a must-have for any statistical ecologist who is working with data in the fields of conservation ecology or wildlife ecology, terrestrial or aquatic. It is not a book for casual reading, and experience with statistical analysis and R in particular are warranted." --Basic and Applied Ecology

    Table of Contents
    PART 1 MODELS FOR DYNAMIC SYSTEMS1. Relative Abundance Models for Population Dynamics2. Modeling Population Dynamics With Count Data3. Hierarchical Models of Survival4. Modeling Species Distribution and Range Dynamics, and Population Dynamics Using Dynamic Occupancy Models5. Modeling Metacommunity Dynamics Using Dynamic Community Models PART 2 ADVANCED MODELS6. Multi-state Occupancy Models7. Modeling False Positives8. Modeling Interactions Among Species9. Spatial Models of Distribution and Abundance10. Integrated Models for Multiple Types of Data11. Spatially Explicit Distance Sampling Along Transects12. Conclusions

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