Phylogenetic Comparative Methods in R

Name: Phylogenetic Comparative Methods in R
Brand: Princeton University Press
SKU: 9780691219035
Price: 274.82 PLN
Availability: InStock

Autor: Liam J. Revell, Luke J. Harmon

Język:

Oprawa: Miękka

Wydawca: Princeton University Press

Dostępność: Dostępna u dostawcy

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An authoritative introduction to the latest comparative methods in evolutionary biologyPhylogenetic...

Informacje o książce

Autor

Liam J. Revell, Luke J. Harmon

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2022

strony

440

EAN

9780691219035

ISBN

0691219036

Enbook ID

38458152

Wydawca

Princeton University Press

Waga

938

Wymiary

252 x 202 x 26

Pełny opis

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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