Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models

Author:   Marc Kéry (Senior Scientist, Swiss Ornithological Institute, Basel, Switzerland) ,  J. Andrew Royle (Research Statistician, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA) ,  Marc Kery (Population Ecologist, Swiss Ornithological Institute, Switzerland) ,  Marc Kery (Population Ecologist, Swiss Ornithological Institute, Switzerland)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128013786


Pages:   808
Publication Date:   27 November 2015
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models


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Author:   Marc Kéry (Senior Scientist, Swiss Ornithological Institute, Basel, Switzerland) ,  J. Andrew Royle (Research Statistician, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA) ,  Marc Kery (Population Ecologist, Swiss Ornithological Institute, Switzerland) ,  Marc Kery (Population Ecologist, Swiss Ornithological Institute, Switzerland)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 19.10cm , Height: 4.30cm , Length: 23.50cm
Weight:   1.810kg
ISBN:  

9780128013786


ISBN 10:   0128013788
Pages:   808
Publication Date:   27 November 2015
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface Part 1: Prelude 1. Distribution, abundance and species richness in ecology 2. What are hierarchical models and how do we analyse them ? 3. Linear models, generalized linear models (GLMs), and random-effects: the components of hierarchical models 4. Introduction to data simulation 5. The Bayesian modeling software BUGS and JAGS Part 2: Models for static systems 6. Modeling abundance using binomial N-mixture models 7. Modeling abundance using multinomial N-mixture models 8. Modeling abundance using hierarchical distance sampling 9. Advanced hierarchical distance sampling 10. Modeling distribution and occurrence using site-occupancy models 11. Community models (incidence- and abundance-based)

Reviews

"""For the beginning practitioner of hierarchical models,...this is definitely worth the space and may actually be the first place to start developing a strong fundamental understanding of hierarchical modeling. For more seasoned quantitative ecologists, there are lots of useful modeling details for both the unmarked and BUGS/JAGS syntax,...there is value to having it all in one place. Finally, for professors looking to teach a class or short-course on hierarchical models in ecology,...an excellent text for the course."" course."" --Journal of Agricultural, Biological, and Environmental Statistics"


For the beginning practitioner of hierarchical models,...this is definitely worth the space and may actually be the first place to start developing a strong fundamental understanding of hierarchical modeling. For more seasoned quantitative ecologists, there are lots of useful modeling details for both the unmarked and BUGS/JAGS syntax,...there is value to having it all in one place. Finally, for professors looking to teach a class or short-course on hierarchical models in ecology,...an excellent text for the course. course. --Journal of Agricultural, Biological, and Environmental Statistics


Author Information

Dr. Marc works as a senior scientist at the Swiss Ornithological Institute, Seerose 1, 6204 Sempach, Switzerland. This is a non-profit NGO with about 160 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the Swiss Universities of Basel and Zuerich. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, MD. During the last 20 years he has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and statistics. He has published more than 100 peer-reviewed journal articles and five textbooks on applied statistical modeling. He has also been very active in teaching fellow biologists and wildlife managers the concepts and tools of modern statistical analysis in their fields in workshops all over the world, something which goes together with his books, which target the same audiences. Dr Royle is a Senior Scientist and Research Statistician at the U.S. Geological Survey's Patuxent Wildlife Research Center. His research is focused on the application of probability and statistics to ecological problems, especially those related to animal sampling and demographic modeling. Much of his research over the last 10 years has been devoted to the development of methods illustrated in our new book. He has authored or coauthored more than 100 journal articles, and co-authored the books Spatial Capture Recapture, Hierarchical Modeling and Inference in Ecology and Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, all published by Academic Press.

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