Analyzing Ecological Data (2007). Zuur, Ieno, Smith

This book provides a practical introduction to analyzing ecological data using real data sets collected as part of postgraduate ecological studies or research projects. The first part of the book gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics. The second part provides 17 case studies, mainly written together with biologists who attended courses given by the first authors. The case studies include topics ranging from terrestrial ecology to marine biology. The case studies can be used as a template for your own data analysis; just try to find a case study that matches your own ecological questions and data structure, and use this as starting point for you own analysis. Data from all case studies are available from Guidance on software is provided in Chapter 2.

Table of contents Sample chapters from Springer's website: Preface and Chapter 4.

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Download data and R code

Most statistical analyses were carried out in the user friendly software package Brodgar (it contains a GUI to some of the R functions, and this allows the user to apply the methods with a few mouse clicks). Below are the data sets and software code that can be used to carry out most of the analyses in R.