Numerical Ecology with R

摘要: Numerical Ecology with R provides a long-awaited bridge between textbook in and the implementation of this discipline language. After short theoretical overviews, authors accompany users through exploration methods by means applied extensively commented examples. Users are invited to use book as teaching companion at computer. The travel starts exploratory approaches, proceeds construction association matrices, then addresses three families methods: clustering, unconstrained canonical ordination, spatial analysis. All necessary data files, scripts used chapters, well extra functions packages written authors, can be downloaded from web page accessible Springer site(http://adn.biol.umontreal.ca/ numericalecology/numecolR/). This is aimed professional researchers, practitioners, graduate students teachers ecology, environmental science engineering, related fields such oceanography, molecular agriculture soil science, who already have background general multivariate statistics wish apply knowledge their using language, people willing disciplinary learning practical applications. People other (e.g. geology, geography, paleoecology, phylogenetics, anthropology, social education sciences, etc.) may also benefit materials presented book. teach numerical both practical, wide array audiences, regular courses Universities given around world. Daniel Borcard lecturer Biostatistics researcher Universite de Montreal, Quebec, Canada. Francois Gillet professor Community Ecological Modelling Franche-Comte, Besancon, France. Pierre Legendre Quantitative Biology Fellow Royal Society Canada, ISI Highly Cited Researcher Ecology/Environment.