TY - BOOK ID - 56708445 TI - Numerical ecology with R AU - Borcard, Daniel AU - Gillet, François AU - Legendre, Pierre PY - 2011 SN - 9781441979766 9781441979759 1441979751 9786613086358 144197976X 1283086352 PB - New York Dordrecht London : Springer, DB - UniCat KW - Biomathematics. Biometry. Biostatistics KW - General ecology and biosociology KW - Epidemiology KW - Environmental protection. Environmental technology KW - Forestry KW - medische statistiek KW - biostatistiek KW - statistiek KW - epidemiologie KW - ecologie KW - biometrie KW - milieutechnologie KW - bossen KW - Ecology KW - R (Computer program language) KW - Ecologie KW - R (Langage de programmation) KW - Statistical methods KW - Data processing KW - Méthodes statistiques KW - Informatique KW - EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B KW - GNU-S (Computer program language) KW - Balance of nature KW - Biology KW - Bionomics KW - Ecological processes KW - Ecological science KW - Ecological sciences KW - Environment KW - Environmental biology KW - Oecology KW - numerieke ecologie KW - R language KW - Environmental sciences KW - Population biology KW - Domain-specific programming languages KW - Statistical methods. KW - Data processing. KW - R (Computer program language). UR - https://www.unicat.be/uniCat?func=search&query=sysid:56708445 AB - 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://adn.biol.umontreal.ca/~numericalecology/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment. ER -