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