Multivariate Analysis Of Ecological Data Using Canoco

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Multivariate Analysis of Ecological Data Using CANOCO

Multivariate Analysis of Ecological Data Using CANOCO
Author :
Publisher : Cambridge University Press
Total Pages : 296
Release :
ISBN-10 : 0521891086
ISBN-13 : 9780521891080
Rating : 4/5 (080 Downloads)

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

Multivariate Analysis of Ecological Data Using CANOCO
Language: en
Pages: 296
Authors: Jan Lepš
Categories: Computers
Type: BOOK - Published: 2003-05-29 - Publisher: Cambridge University Press

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Table of contents
Multivariate Analysis of Ecological Data using CANOCO 5
Language: en
Pages: 375
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.
Multivariate Analysis of Ecological Data using CANOCO 5
Language: en
Pages: 375
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
Multivariate Analysis of Ecological Data Using CANOCO
Language: en
Pages: 269
Authors: Jan Leps
Categories:
Type: BOOK - Published: 2003 - Publisher:

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Multivariate Analysis of Ecological Data
Language: es
Pages: 336
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