Erschienen: 19.10.2017 Abbildung von Borcard / Gillet / Legendre | Numerical Ecology with R | 2nd ed. 2018 | 2018

Borcard / Gillet / Legendre

Numerical Ecology with R

2nd ed. 2018 2018. Buch. xv, 435 S. 24 s/w-Abbildungen, 633 Farbabbildungen, Bibliographien. Softcover

Springer. ISBN 978-3-319-71403-5

Format (B x L): 15,5 x 23,5 cm

Gewicht: 679 g

In englischer Sprache

Das Werk ist Teil der Reihe: Use R!

Produktbeschreibung

This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eye of an ecologist. It provides a bridge between a textbook in numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most techniques, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination, and finally spatial analysis. The aims of methods thus range from descriptive to explanatory and to predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures. It also highlights important changes and expands upon topic such as multiple correspondence analysis and principal response curves. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. Users are invited to use this book as a teaching companion at the computer. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, are available online.

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