Good news for all of us that are interested in ecological modeling using R – Ben Bolker’s book Ecological Models and Data in R has been published by Princeton University Press. Over the last year or so I have been reading drafts and blogging about the book (it was available at Bolker’s web site). I liked what I saw and have eagerly anticipated it’s publication. According to the book’s web site it will be published in September but can already be pre-ordered. I’ll report back once I get my hands on a copy of it.
To wet your appetite, here’s the table of contents and a snippet from the release statement by PUP:
Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming backgroundonly basic calculus and statistics.
