Multivariate Analysis Of Ecological Data Using Canoco 5


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Multivariate Analysis of Ecological Data using CANOCO 5


Multivariate Analysis of Ecological Data using CANOCO 5

Author: Petr Šmilauer

language: en

Publisher: Cambridge University Press

Release Date: 2014-04-17


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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


Multivariate Analysis of Ecological Data Using CANOCO

Author: Jan Lepš

language: en

Publisher: Cambridge University Press

Release Date: 2003-05-29


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This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website.

Multivariate Analysis of Ecological Data using CANOCO 5


Multivariate Analysis of Ecological Data using CANOCO 5

Author: Petr Šmilauer

language: en

Publisher: Cambridge University Press

Release Date: 2014-04-17


DOWNLOAD





This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species functional traits and spatial structures analysed. Nine case studies of varying difficulty help to illustrate the suggested analytical methods, using the latest version of Canoco 5. All studies utilise descriptive and manipulative approaches, and are supported by data sets and project files available from the book website: http://regent.prf.jcu.cz/maed2/. Written primarily for community ecologists needing to analyse data resulting from field observations and experiments, this book is a valuable resource to students and researchers dealing with both simple and complex ecological problems, such as the variation of biotic communities with environmental conditions or their response to experimental manipulation.