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Multivariate analysis of ecological data using CANOCO /
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 suppo...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2003.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Lepš, Jan, |d 1953- | |
| 245 | 1 | 0 | |a Multivariate analysis of ecological data using CANOCO / |c Jan Leps̆, Petr S̆milauer. |
| 260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2003. | ||
| 300 | |a 1 online resource (xi, 269 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references (pages 262-266) and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Ecology |x Statistical methods. | |
| 650 | 0 | |a Multivariate analysis. | |
| 650 | 2 | |a Multivariate Analysis | |
| 650 | 6 | |a Analyse multivariée. | |
| 650 | 7 | |a SCIENCE |x Environmental Science (see also Chemistry |x Environmental) |2 bisacsh | |
| 650 | 7 | |a NATURE |x Ecosystems & Habitats |x Wilderness. |2 bisacsh | |
| 650 | 7 | |a NATURE |x Ecology. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Ecology. |2 bisacsh | |
| 650 | 0 | 7 | |a Multivariate analysis. |2 cct |
| 650 | 0 | 7 | |a Ecology |x Statistical methods. |2 cct |
| 650 | 7 | |a Ecology |x Statistical methods. |2 fast |0 (OCoLC)fst00901539 | |
| 650 | 7 | |a Multivariate analysis. |2 fast |0 (OCoLC)fst01029105 | |
| 700 | 1 | |a Šmilauer, Petr, |d 1967- | |
| 776 | 0 | 8 | |i Print version: |a Lepš, Jan, 1953- |t Multivariate analysis of ecological data using CANOCO. |d Cambridge, UK ; New York : Cambridge University Press, 2003 |z 052181409X |z 0521891086 |w (DLC) 2002034801 |w (OCoLC)50606509 |
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