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Numerical Ecology with R (Use R!) de Daniel Borcard,Pierre Legendre

Descripción - Críticas From the reviews:“It is aimed at people who have not used the free software R before, and covers how to install it onto your computer … . this book aims to provide a bridge between the theory and practice of numerical ecology. … provides a gentle introduction, reviewing various types of exploratory data analysis. … This will be of use by final year undergraduate project students, academics and researchers who are looking to extend their statistical repertoire.” (Bulletin of the British Ecological Society, Vol. 43 (1), March, 2012)“The text is well written and ideal as either a course companion or for personal study. Each chapter explains clearly the objectives underlying the presentation of the material considered and each includes a final conclusion section so that the key points can be referred to subsequently. The authors’ text deserves to become a standard reference for anyone working in ecological science and more specifically, in numerical ecology.” (Carl M. O’Brien, International Statistical Review, Vol. 80 (1), 2012)“This companion volume … shows how to use R and various packages pertinent to ecology. … this volume is an excellent contribution to the evolution of quantitative ecology and is a ‘must read.’” (Donald E. Myers, Technometrics, Vol. 54 (2), May, 2012) Reseña del editor 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. Contraportada 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. Biografía del autor 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.

Numerical ecology with r université de montréal numerical ecology with r a practical guide to numerical ecology using the r language links to the authors web pages daniel borcard françois gillet pierre legendre this page provides the data sets, r scripts, r functions and several useful links related to the book entitled numerical ecology with r available now Numerical ecology with r second edition r语言论坛 经管之家原人大 numerical ecology with r second edition,本人专业领域的一本工具书论坛要价太高经过一番搜索在国外的网站上下载到收2毛钱的辛苦费谢谢,经管之家原人大经济论坛 Numerical ecology with r download ebook pdf, epub, tuebl numerical ecology with r download numerical ecology with r or read online books in pdf, epub, tuebl, and mobi format click download or read online button to get numerical ecology with r book now this site is like a library, use search box in the widget to get ebook that you want

Numerical ecology with r request pdf request pdf numerical ecology with r although multivariate analysis of ecological data already existed and was being actively developed in the 1960s, it really flourished in the years Pdf numerical ecology download full pdf book download numerical ecology with r provides a longawaited 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 numerical ecology with r use r this new edition of numerical ecology with r guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists it provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the r language the book begins by examining some exploratory approaches

Detalles del Libro

  • Name: Numerical Ecology with R (Use R!)
  • Autor: Daniel Borcard,Pierre Legendre
  • Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
  • Tamaño del archivo: 10 MB
  • Tipos de archivo: PDF Document
  • Idioma: Español
  • Archivos de estado: AVAILABLE


[Download] Numerical Ecology with R (Use R!) de Daniel Borcard,Pierre Legendre Libros Gratis en EPUB

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