Numerical Ecology with R. 2nd ed. 2018

種類:

電子ブック

責任表示:

by Daniel Borcard, François Gillet, Pierre Legendre

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2018

著者名:

• Borcard, Daniel.
• Gillet, François.
• Legendre, Pierre.
• SpringerLink (Online service)

シリーズ名:

Use R! ;

ISBN:

9783319714042 [331971404X]    

注記:

Chapter 1. Introduction -- Chapter 2. Exploratory Data Analysis -- Chapter 3. Association Measures and Matrices -- Chapter 4. Cluster Analysis -- Chapter 5. Unconstrained Ordination -- Chapter 6. Canonical Ordination -- Chapter 7. Spatial Analysis of Ecological Data -- Chapter 8. Community Diversity.
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 eyes of three ecologists. It provides a bridge between a textbook of 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 methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and 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 mul

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