
Numerical Ecology with R
by Daniel Borcard, François Gillet, Pierre Legendre
2nd Edition
Publisher: Springer
Book Details
| Print ISBN | 9783319714035 |
| eText ISBN | 9783319714042 |
| Publisher | Springer |
| Publishing Year | 2018 |
| Edition | 2nd Edition |
| Language | English |
| Pages | 450 |
Numerical Ecology with R, 2nd Edition, bridges theoretical numerical ecology and practical data analysis in the R programming environment. The volume provides quantitative methods for researchers and practitioners examining complex multivariate ecological datasets.
Coverage focuses on exploratory data analysis alongside foundational association measures and matrices. The text introduces primary multivariate analytical frameworks, including ordination and cluster analysis, while addressing contemporary ecological questions such as spatial structures.
Intended for graduate students, researchers, practitioners, and instructors who possess prior training in general and multivariate statistics, the text supports hands-on computational workflows in ecology and environmental science. The material also serves as a practical resource for related fields such as agriculture and oceanography.
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
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