Data Analysis in Vegetation Ecology

Data Analysis in Vegetation Ecology

by Otto Wildi
     
 

View All Available Formats & Editions

The first edition of Data Analysis in Vegetation Ecology provided an accessible and thorough resource for evaluating plant ecology data, based on the author’s extensive experience of research and analysis in this field. Now, the Second Edition expands on this by not only describing how to analyse data, but also enabling readers to follow the

Overview

The first edition of Data Analysis in Vegetation Ecology provided an accessible and thorough resource for evaluating plant ecology data, based on the author’s extensive experience of research and analysis in this field. Now, the Second Edition expands on this by not only describing how to analyse data, but also enabling readers to follow the step-by-step case studies themselves using the freely available statistical package R.    

The addition of R in this new edition has allowed coverage of additional methods for classification and ordination, and also logistic regression, GLMs, GAMs, regression trees as well as multinomial regression to simulate vegetation types. A package of statistical functions, specifically written for the book, covers topics not found elsewhere, such as analysis and plot routines for handling synoptic tables. All data sets presented in the book are now also part of the R package ‘dave’, which is freely available online at the R Archive webpage. 

The book and data analysis tools combined provide a complete and comprehensive guide to carrying out data analysis students, researchers and practitioners in vegetation science and plant ecology.

Summary:

  • A completely revised and updated edition of this popular introduction to data analysis in vegetation ecology
  • Now includes practical examples using the freely available statistical package ‘R’
  • Written by a world renowned expert in the field
  • Complex concepts and operations are explained using clear illustrations and case studies relating to real world phenomena
  • Highlights both the potential and limitations of the methods used, and the final interpretations
  • Gives suggestions on the use of the most widely used statistical software in vegetation ecology and how to start analysing data



Praise for the first edition: “This book will be a valuable addition to the shelves of early postgraduate candidates and postdoctoral researchers. Through the excellent background material and use of real world examples, Wildi has taken the fear out of trying to understand these much needed data analysis techniques in vegetation ecology.” Austral Ecology

Editorial Reviews

From the Publisher
"All students sampling vegetation data should be aware that this is a really nice book summarizing the approaches used in vegetation ecology . . . I enjoyed reading this book and can recommend it for students of botany or general ecology. It is also well suited teaching material.”  (Folia Geobot, 1 December 2011) 

“This book will be a valuable addition to the shelves of early postgraduate candidates and postdoctoral researchers.”  (Austral Ecology, 1 November 2012)

 

Product Details

ISBN-13:
9781118562529
Publisher:
Wiley
Publication date:
04/01/2013
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
336
File size:
18 MB
Note:
This product may take a few minutes to download.

What People are saying about this

From the Publisher
"All students sampling vegetation data should be aware that this is a really nice book summarizing the approaches used in vegetation ecology . . . I enjoyed reading this book and can recommend it for students of botany or general ecology. It is also well suited teaching material.” (Folia Geobot, 1 December 2011)

“This book will be a valuable addition to the shelves of early postgraduate candidates and postdoctoral researchers.” (Austral Ecology, 1 November 2012)

Meet the Author

Otto Wildi is from the WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >