Numerical Ecology with R

• Main Authors: Borcard, Daniel (Author, http://id.loc.gov/vocabulary/relators/aut), Gillet, François (http://id.loc.gov/vocabulary/relators/aut), Legendre, Pierre (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 2nd ed. 2018.
• Series: Use R!,
• Subjects: Statistics .; Ecology .; Environmental sciences.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Theoretical Ecology/Statistics.; Math. Appl. in Environmental Science.

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...

Table of Contents:

• 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.