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Bestseller
BestsellerE-book
Author Lepš, Jan, 1953-

Title Multivariate analysis of ecological data using CANOCO / Jan Leps̆, Petr S̆milauer.

Publication Info. Cambridge, UK ; New York : Cambridge University Press, 2003.

Item Status

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.
Ecology -- Statistical methods.
Multivariate analysis.
Multivariate analysis.
Genre/Form Electronic books.
Added Author Šmilauer, Petr, 1967-
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)
9780511078187 (electronic book)
0511179367 (electronic book)
9780511179365 (electronic book)
9780511615146 (electronic book)
0511615140 (electronic book)
0511076614 (electronic book)
9780511076619 (electronic book)
052181409X (Cloth)
1280419784
9781280419782