This much anticipated volume maps the connections between numerical ecology and its implementation in the 'R' language. Beginning with concise theoretical overviews, the authors go on to explore the methodology using applied and extensively annotated examples.

Offers an up-to-date, practical guide to numerical ecology from leaders in the field
Provides complete data sets, functions and scripts
Includes examples with extensive commentaries

Autorentext
Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. His research interests include Numerical Ecology, Ecology of communities, and Soil Ecology/Zoology.

François Gillet is professor of Community Ecology and Ecological Modelling at Université Bourgogne Franche-Comté, Besançon, France, and visiting professor at École Polytechnique Fédérale de Lausanne, Switzerland. His research deals with the structure, diversity, ecology and dynamics of plant communities.

Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, fellow of the Royal Society of Canada, and Web of Science Highly Cited Researcher in Environment/Ecology. He is the founder of the field of numerical ecology.

Inhalt
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. <p