Data Analysis in Vegetation Ecology (eBook)

The first edition of Data Analysis in Vegetation Ecologyprovided an accessible and thorough resource for evaluating plantecology data, based on the author's extensive experience ofresearch and analysis in this field. Now, the Second Editionexpands on this by not only describing how to analyse data, butalso enabling readers to follow the step-by-step case studiesthemselves using the freely available statistical package R.
The addition of R in this new edition has allowed coverage ofadditional methods for classification and ordination, and alsologistic regression, GLMs, GAMs, regression trees as well asmultinomial regression to simulate vegetation types. A package ofstatistical functions, specifically written for the book, coverstopics not found elsewhere, such as analysis and plot routines forhandling synoptic tables. All data sets presented in the book arenow also part of the R package 'dave', which is freelyavailable online at the R Archive webpage.
The book and data analysis tools combined provide a complete andcomprehensive guide to carrying out data analysis students,researchers and practitioners in vegetation science and plantecology.
Summary:
* A completely revised and updated edition of this popularintroduction to data analysis in vegetation ecology
* Now includes practical examples using the freely availablestatistical package 'R'
* Written by a world renowned expert in the field
* Complex concepts and operations are explained using clearillustrations and case studies relating to real worldphenomena
* Highlights both the potential and limitations of the methodsused, and the final interpretations
* Gives suggestions on the use of the most widely usedstatistical software in vegetation ecology and how to startanalysing data
Praise for the first edition: "This book will bea valuable addition to the shelves of early postgraduate candidatesand postdoctoral researchers. Through the excellent backgroundmaterial and use of real world examples, Wildi has taken the fearout of trying to understand these much needed data analysistechniques in vegetation ecology." Austral Ecology