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Titlebook: Functional and Phylogenetic Ecology in R; Nathan G. Swenson Book 2014 Springer Science+Business Media New York 2014 Ecological Analyses.Ec

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书目名称Functional and Phylogenetic Ecology in R
编辑Nathan G. Swenson
视频video
概述Covers computational tools utilized to study phylogenetic and trait analyses.Utilizes actual data sets from the fields of ecology and plant biology.Integrates R code and commands with C and Python sof
丛书名称Use R!
图书封面Titlebook: Functional and Phylogenetic Ecology in R;  Nathan G. Swenson Book 2014 Springer Science+Business Media New York 2014 Ecological Analyses.Ec
描述.Functional and Phylogenetic Ecology in R. is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporate phylogenetic and functional information into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-step entryway into phylogenetic and functional analyses for ecology in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the R environment and handling relevant data in R. Chapters then cover phylogenetic and functional metrics of biodiversity; null modeling and randomizations for phylogenetic and functional trait analyses; integrating phylogenetic and functional trait information; and interfacing the R environment with a popular C-based program. This book presents a unique approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides his own code, so that the reader is guided through the computatio
出版日期Book 2014
关键词Ecological Analyses; Ecology; Functional Trait Analysis; Phylogenetics in R; Phylogeny; R
版次1
doihttps://doi.org/10.1007/978-1-4614-9542-0
isbn_softcover978-1-4614-9541-3
isbn_ebook978-1-4614-9542-0Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer Science+Business Media New York 2014
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