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Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities 1st Edition

4.2 out of 5 stars 5 customer reviews
ISBN-13: 978-0123740977
ISBN-10: 0123740975
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  • Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities
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  • Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence
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  • Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective
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Editorial Reviews

About the Author

Dr Royle is currently a 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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Product Details

  • Hardcover: 464 pages
  • Publisher: Academic Press; 1 edition (July 17, 2008)
  • Language: English
  • ISBN-10: 0123740975
  • ISBN-13: 978-0123740977
  • Product Dimensions: 7.4 x 1.2 x 9.3 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #991,931 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

Format: Hardcover
Royle & Dorazio (2008): A truly synthetic overview
This book not only illustrates, and presents R and WinBUGS code for, plenty of methods for inference about distribution and abundance in animal and plant populations and communities; it does much more. It presents a truly synthetic overview of these methods and makes the reader understand how they relate to each other. At the same time, the authors succeed extremely well in teaching a modern, "organic way" of statistical modeling -- where one first thinks hard about how the observed data might have arisen via a combination of stochastic processes (the book is about hierarchical models, remember) and then builds a custom statistical model for exactly those processes. This combination of presenting a unifying synthesis of a vast array of methods and showing how to model a study system organically in my view is unique among the currently available statistical ecology books.
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Format: Hardcover Verified Purchase
Excellent text on the statistics of population modeling. Graduate level text with well written, engaging prose. A must for anyone analyzing the abundance and dynamics of animal and plant populations!
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Format: Kindle Edition
I would advise against this book for those without a strong background in statistics. The authors appear to assume the reader has knowledge of key concepts beforehand. This is disappointing given the authors' acknowledgement of the lack of "exposure to modeling" in ecology.
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Format: Hardcover Verified Purchase
Clearly written and easy to follow for a beginner. The book also provides R code, more complicated examples, and helpful references.
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Format: Hardcover Verified Purchase
This is an excellent introduction to hierarchical modeling and Bayesian analysis for modeling populations and communities. The authors provide very good explanations of the topics and go in depth to describe how to analyze specific data. They provide R code in the book, which is very helpful. It would be good to enter this book with some background knowledge of distributions. (If you don't have this knowledge, I'd recommend Chapters 3 and 4 of 'Mathematical Statistics with Applications' by Mendenhall et al. - It is dated, but still relevant.)
The only negative side to this book is the web supplement. It would be great if they could provide the R code necessary to carry out the analyses. Almost all of the R code I have tried to run from this book has given me errors (I am no novice at R, so there are really problems with not having variables assigned names or other bugs). Also, the book frequently mentions that "these calculations can be found in the Web Supplement," but it does not provide a file name, and I don't know how to find what they are referring to in the book. I am using the Web Supplement at (http://www.mbr-pwrc.usgs.gov/pubanalysis/roylebook/chapters.htm#c4) if there is a different page out there that I am missing, please inform me.
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