Items related to Multivariate Analysis of Ecological Data using CANOCO
Synopsis
Multivariate statistical methods are described in this study and advice is given on how best to apply these methods using CANOCO software. Data sets and program files for the case studies are provided on a supporting website. The book is useful to anyone studying complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulations. It is primarily targeted at ecologists who need to analyze data resulting from field observations and experiments.
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Book Description
This book will be useful to anyone studying complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulations. It is primarily targeted at ecologists who need to analyse data resulting from field observations and experiments. Multivariate statistical methods are described, and advice is given on how best to apply these methods using Canoca software. Data sets and program files for the case studies are provided on a supporting website.
About the Author
Dr Jan Leps is Professor of Ecology in the Department of Botany at the University of South Bohemia, Czech Republic.
Dr Petr Smilauer is Lecturer in Multivariate Statistics at the University of South Bohemia, Czech Republic.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2003
- ISBN 10 0521891086
- ISBN 13 9780521891080
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages284
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Multivariate Analysis of Ecological Data using CANOCO
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ISBN 13: 9780521891080
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Multivariate Analysis of Ecological Data Using CANOCO
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ISBN 13: 9780521891080
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Multivariate Analysis of Ecological Data using CANOCO
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ISBN 13: 9780521891080
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Multivariate Analysis of Ecological Data Using CANOCO
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ISBN 13: 9780521891080
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Multivariate Analysis of Ecological Data using CANOCO
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Multivariate Analysis of Ecological Data using CANOCO
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ISBN 10: 0521891086
ISBN 13: 9780521891080
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Multivariate Analysis of Ecological Data using CANOCO
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