Phylogenetic Comparative Methods in R
eBook - PDF

Phylogenetic Comparative Methods in R

  1. 256 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Phylogenetic Comparative Methods in R

About this book

An authoritative introduction to the latest comparative methods in evolutionary biology

Phylogenetic comparative methods are a suite of statistical approaches that enable biologists to analyze and better understand the evolutionary tree of life, and shed vital new light on patterns of divergence and common ancestry among all species on Earth. This textbook shows how to carry out phylogenetic comparative analyses in the R statistical computing environment. Liam Revell and Luke Harmon provide an incisive conceptual overview of each method along with worked examples using real data and challenge problems that encourage students to learn by doing. By working through this book, students will gain a solid foundation in these methods and develop the skills they need to interpret patterns in the tree of life.

  • Covers every major method of modern phylogenetic comparative analysis in R
  • Explains the basics of R and discusses topics such as trait evolution, diversification, trait-dependent diversification, biogeography, and visualization
  • Features a wealth of exercises and challenge problems
  • Serves as an invaluable resource for students and researchers, with applications in ecology, evolution, anthropology, disease transmission, conservation biology, and a host of other areas
  • Written by two of today's leading developers of phylogenetic comparative methods

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Yes, you can access Phylogenetic Comparative Methods in R by Liam J. Revell,Luke J. Harmon in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Contents
  3. 1. A brief introduction to phylogenetics in R
  4. 2. Phylogenetically independent contrasts
  5. 3. Phylogenetic generalized least squares
  6. 4. Modeling continuous character evolution on a phylogeny
  7. 5. Multi-rate, multi-regime, and multivariate models for continuous traits
  8. 6. Modeling discrete character evolution on a phylogeny
  9. 7. Other models of discrete character evolution
  10. 8. Reconstructing ancestral states
  11. 9. Analysis of diversification with phylogenies
  12. 10. Time-and density-dependent diversification
  13. 11. Character-dependent diversification
  14. 12. Biogeography and phylogenetic community ecology
  15. 13. Plotting phylogenies and comparative data
  16. References
  17. Index