Daniel Borcard, François Gillet, Pierre Legendre

Numerical Ecology with R (eBook, PDF)

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 435
• Erscheinungstermin: 19. März 2018
• Englisch
• ISBN-13: 9783319714042
• Artikelnr.: 52939614

Autorenporträt

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.

Inhaltsangabe

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.