Description |
1 online resource (xi, 269 pages) : illustrations |
Physical Medium |
polychrome |
Description |
text file |
Bibliography |
Includes bibliographical references (pages 262-266) and index. |
Contents |
Cover; Half-title; Title; Copyright; Contents; Preface; 1 Introduction and data manipulation; 2 Experimental design; 3 Basics of gradient analysis; 4 Using the Canoco for Windows 4.5 package; 5 Constrained ordination and permutation tests; 6 Similarity measures; 7 Classification methods; 8 Regression methods; 9 Advanced use of ordination; 10 Visualizing multivariate data; 11 Case study 1: Variation in forest bird assemblages; 12 Case study 2: Search for community composition patterns and their environmental correlates: vegetation of spring meadows. |
Summary |
This book is primarily written for students and researchers dealing with complex ecological problems. Multivariate statistical methods are described, 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. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Ecology -- Statistical methods.
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Ecology -- Statistical methods. |
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Multivariate analysis.
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Multivariate analysis. |
Genre/Form |
Electronic books.
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Added Author |
Šmilauer, Petr, 1967-
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Other Form: |
Print version: Lepš, Jan, 1953- Multivariate analysis of ecological data using CANOCO. Cambridge, UK ; New York : Cambridge University Press, 2003 052181409X 0521891086 (DLC) 2002034801 (OCoLC)50606509 |
ISBN |
0511078188 (electronic book) |
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9780511078187 (electronic book) |
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0511179367 (electronic book) |
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9780511179365 (electronic book) |
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9780511615146 (electronic book) |
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0511615140 (electronic book) |
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0511076614 (electronic book) |
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9780511076619 (electronic book) |
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052181409X (Cloth) |
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1280419784 |
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9781280419782 |
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