Product Description

Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com.

Product Details

• Amazon Sales Rank: #218095 in Books
• Published on: 2009-03-12
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 574 pages

Customer Reviews

A life-saver in the minefield of ecological data analysis
This book has really saved my bacon! I have a difficult dataset to work with, and were it not for this book I would have been completely lost. It's great whether or not you are good at statistics, as it provides basic descriptions as well as more detailed mathematical sections. R code is provided throughout, as well as explanations for what the code does - great for beginners and more advanced users! Real-world examples are used to illustrate the uses for different types of analysis, and some of the issues that can be overcome. Well worth the investment, in my opinion.