Daniel Borcard, Francois Gillet and Pierre Legendre recently published the book “Numerical Ecology with R“. Pierre Legendre is a professor at Universié de Montréal and a QCBS member. He also is a Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.
From the publisher: “Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site (http://www.bio.umontreal.ca/numecolR/).”
