Multivariate Analysis Of Ecological Data Using Canoco

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Multivariate Analysis of Ecological Data Using CANOCO

Author	: Jan Lepš
Publisher	: Cambridge University Press
Total Pages	: 296
Release	: 2003-05-29
ISBN-10	: 0521891086
ISBN-13	: 9780521891080
Rating	: 4/5 (080 Downloads)

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Book Synopsis Multivariate Analysis of Ecological Data Using CANOCO by : Jan Lepš

Download or read book Multivariate Analysis of Ecological Data Using CANOCO written by Jan Lepš and published by Cambridge University Press. This book was released on 2003-05-29 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Table of contents

Multivariate Analysis of Ecological Data Using CANOCO Related Books

Language: en
Pages: 296

Multivariate Analysis of Ecological Data Using CANOCO

Authors: Jan Lepš

Categories: Computers

Type: BOOK - Published: 2003-05-29 - Publisher: Cambridge University Press

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Table of contents

Language: en
Pages: 375

Multivariate Analysis of Ecological Data using CANOCO 5

Authors: Petr Šmilauer

Categories: Mathematics

Type: BOOK - Published: 2014-04-17 - Publisher: Cambridge University Press

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An accessible introduction to the theory and practice of multivariate analysis for graduates, researchers and professionals dealing with ecological problems.

Language: en
Pages: 375

Multivariate Analysis of Ecological Data using CANOCO 5

Authors: Petr Šmilauer

Categories: Nature

Type: BOOK - Published: 2014-04-17 - Publisher: Cambridge University Press

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This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses

Language: en
Pages: 269

Multivariate Analysis of Ecological Data Using CANOCO

Authors: Jan Leps

Categories:

Type: BOOK - Published: 2003 - Publisher:

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Language: es
Pages: 336

Multivariate Analysis of Ecological Data

Authors: Michael Greenacre

Categories: Ecology

Type: BOOK - Published: 2014-01-09 - Publisher: Fundacion BBVA

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La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limita