Data Analysis in Vegetation Ecology

Evolving from years of teaching experience by one of the top experts in vegetation ecology, Data Analysis in Vegetation Ecology aims to explain the background and basics of mathematical (mainly multivariate) analysis of vegetation data. The book lays out the basic operations involved in the analysis, the underlying hypotheses, aims and points of views. It conveys the message that each step in the calculations has a specific, straightforward meaning and that patterns and processes known by ecologists often find their counterpart in mathematical operations and functions. The first chapters introduce the elementary concepts and operations and relate them to real-world phenomena and problems. Later chapters concentrate on combinations of methods to reveal surprising features in data sets. Showing how to find patterns in time series, how to generate simple dynamic models, how to reveal spatial patterns and related occurrence probability maps.

Science & Math

Wildi, Otto

Biological Sciences

wiley

Evolving from years of teaching experience by one of the top experts in vegetation ecology, Data Analysis in Vegetation Ecology aims to explain the background and basics of mathematical (mainly multivariate) analysis of vegetation data. 
The book lays out the basic operations involved in the analysis, the underlying hypotheses, aims and points of views. It conveys the message that each step in the calculations has a specific, straightforward meaning and that patterns and processes known by ecologists often find their counterpart in mathematical operations and functions. The first chapters introduce the elementary concepts and operations and relate them to real-world phenomena and problems. Later chapters concentrate on combinations of methods to reveal surprising features in data sets. Showing how to find patterns in time series, how to generate simple dynamic models, how to reveal spatial patterns and related occurrence probability maps.

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

Wiley/Blackwell

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

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

The third edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis. The book succinctly illustrates the various paths leading to high quality data suitable for pattern recognition, pattern testing, static and dynamic modeling, and model testing, including spatial and temporal aspects of ecosystems. Step-by-step introductions using small examples lead to more demanding approaches illustrated by real world examples aimed at explaining interpretations. All data sets and examples described in the book are available online and are written using the freely available statistical package R. This book will be of particular value to beginning graduate students and postdoctoral researchers of vegetation ecology, ecological data analysis, and ecological modeling as well as to experienced researchers needing a guide to new methods. Features: - Completely revised and updated - Includes practical step-by-step examples using the freely available statistical package R - Complex concepts and operations are explained using clear illustrations and case studies relating to real world phenomena - Emphasizes method selection rather than just giving a set of recipes.

CABI

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Books by Wildi, Otto

See the best price to sell, buy, or rent books by Wildi, Otto. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Data Analysis in Vegetation Ecology

Data Analysis in Vegetation Ecology

Data Analysis in Vegetation Ecology

Data Analysis in Vegetation Ecology

Data Analysis in Vegetation Ecology

Data Analysis in Vegetation Ecology