Numerical Ecology with R
Numerical Ecology with R
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DOI：
10.1007/978-1-4419-7976-6
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发表时间：
2011-01-01
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影响因子：
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通讯作者：
Legendre, Pierre
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文献类型：
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作者：
Borcard, Daniel;Gillet, Francois;Legendre, Pierre
数值生态学与R提供了一个期待已久的桥梁之间的教科书在数值生态学和实现这一学科的R语言。经过简短的理论概述，作者陪同用户通过应用和广泛评论的例子的方法的探索。用户被邀请使用这本书作为教学伴侣在计算机上。旅行开始与探索性的方法，进行建设的关联矩阵，然后解决三个家庭的方法：聚类，无约束和规范排序，空间分析。所有必要的数据文件，章节中使用的脚本，以及作者编写的额外的R函数和包，都可以从Springer网站（http：//adn.乌蒙特雷生物学ca/~ numericalecology/numecolR/）.本书面向生态学、环境科学与工程以及海洋学、分子生态学、农业和土壤科学等相关领域的专业研究人员、从业人员、研究生和教师，他们已经有一般和多元统计的背景，并希望使用R语言将这些知识应用于他们的数据，以及那些愿意将他们的学科学习与实际应用相结合的人。来自其他领域的人（如地质学，地理学，古生态学，遗传学，人类学，社会和教育科学等）也可以从本书中提供的材料中受益。
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 (eg geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book.