Morphometrics with R (Use R!) - Pasta blanda

EAN (ISBN-13): 9780387777894
ISBN (ISBN-10): 038777789X
Tapa dura
Tapa blanda
Año de publicación: 2008
Editorial: Springer
316 Páginas
Peso: 0,486 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2008-05-02T10:13:08-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-06-10T08:19:23-06:00 (Mexico City)
ISBN/EAN: 038777789X

ISBN - escritura alterna:
0-387-77789-X, 978-0-387-77789-4
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Autor del libro: julien, claude
Título del libro: morphometrics with

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Datos del la editorial

Autor: Julien Claude
Título: Use R! Morphometrics with R
Editorial: Springer; Springer US
317 Páginas
Año de publicación: 2008-07-29
New York; NY; US
Idioma: Inglés
139,09 € (DE)
142,99 € (AT)
153,50 CHF (CH)
Available
XVIII, 317 p.

BC; Hardcover, Softcover / Biologie; Biowissenschaften, allgemein; Verstehen; STATISTICA; data acquisition; data analysis; evolutionary biology; morphology; morphometrics; phenotypes; shape statistics; statistics; Life Sciences; Biostatistics; Mathematical Software; Wahrscheinlichkeitsrechnung und Statistik; Mathematische und statistische Software; EA

Quantifying shape and size variation is essential in evolutionary biology and in many other disciplines. Since the "morphometric revolution of the 90s," an increasing number of publications in applied and theoretical morphometrics emerged in the new discipline of statistical shape analysis. The R language and environment offers a single platform to perform a multitude of analyses from the acquisition of data to the production of static and interactive graphs. This offers an ideal environment to analyze shape variation and shape change. This open-source language is accessible for novices and for experienced users. Adopting R gives the user and developer several advantages for performing morphometrics: evolvability, adaptability, interactivity, a single and comprehensive platform, possibility of interfacing with other languages and software, custom analyses, and graphs. The book explains how to use R for morphometrics and provides a series of examples of codes and displays covering approaches ranging from traditional morphometrics to modern statistical shape analysis such as the analysis of landmark data, Thin Plate Splines, and Fourier analysis of outlines. The book fills two gaps: The gap between theoreticians and students by providing worked examples from the acquisition of data to analyses and hypothesis testing. The gap between user and developers by providing and explaining codes for performing all the steps necessary for morphometrics rather than providing a manual for a given software or package. Students and scientists interested in shape analysis can use the book as a reference for performing applied morphometrics, while prospective researchers will learn how to implement algorithms or interfacing R for new methods. In addition, adopting the "R" philosophy will enhance exchanges within and outside the morphometrics community. Julien Claude is evolutionary biologistand palaeontologist at the University of Montpellier 2 where he got his Ph.D. in 2003. He works on biodiversity and phenotypic evolution of a variety of organisms, especially vertebrates. He teaches evolutionary biology and biostatistics to undergraduate and graduate students and has developed several functions in R for the package APE.
With a single book in a single environment, learn how to perform shape analysis from data acquisition to a variety of adapted statistics. Examples of codes, displays and exercises provide a progressive tutorial on the discipline of statistical shape analysis. Understand, develop and adapt your own toolkit for your needs in morphometrics. Includes supplementary material: sn.pub/extras