Functional and Phylogenetic Ecology in R
Nathan G Swenson
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Description for Functional and Phylogenetic Ecology in R
Paperback. Functional and Phylogenetic Ecology in R Series: Use R!. Num Pages: 212 pages, 34 black & white illustrations, 2 colour illustrations, 20 black & white tables, biograph. BIC Classification: PSAF; PSAJ; UFM. Category: (P) Professional & Vocational. Dimension: 237 x 158 x 10. Weight in Grams: 334.
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 ... Read more
Show LessProduct Details
Publisher
Springer-Verlag New York Inc.
Format
Paperback
Publication date
2014
Series
Use R!
Condition
New
Weight
348g
Number of Pages
212
Place of Publication
New York, NY, United States
ISBN
9781461495413
SKU
V9781461495413
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Nathan G Swenson
The author is a tropical plant field biologist by training with a research focus on using phylogenetic and functional information to understand the distribution and dynamics of biodiversity through space and time. He received his Ph.D. in Ecology and Evolutionary Biology in 2008 at the University of Arizona and was a NSF postdoctoral fellow in bioinformatics with the Center for ... Read more
Reviews for Functional and Phylogenetic Ecology in R
From the book reviews: “This book is structured in nine interlinked chapters … . Each chapter is built in a lecture-style incremental manner and does not assume an extensive previous knowledge of R. All chapters conclude with a series of exercises that consolidate the presented notions. This approach makes the book suitable for undergraduates and postgraduates, as well as ... Read more