Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Books
  3. A Course in Morphometrics for Biologists
  • Cited by 44
Publisher:
Cambridge University Press
Online publication date:
September 2018
Print publication year:
2018
Online ISBN:
9781108120418
DOI:
https://doi.org/10.1017/9781108120418
Subjects:
Statistics for Life Sciences, Medicine and Health, Life Sciences, Statistics and Probability, Quantitative Biology, Biostatistics and Mathematical Modeling
Information

Book description

This book builds a much-needed bridge between biostatistics and organismal biology by linking the arithmetic of statistical studies of organismal form to the biological inferences that may follow from it. It incorporates a cascade of new explanations of regression, correlation, covariance analysis, and principal components analysis, before applying these techniques to an increasingly common data resource: the description of organismal forms by sets of landmark point configurations. For each data set, multiple analyses are interpreted and compared for insight into the relation between the arithmetic of the measurements and the rhetoric of the subsequent biological explanations. The text includes examples that range broadly over growth, evolution, and disease. For graduate students and researchers alike, this book offers a unique consideration of the scientific context surrounding the analysis of form in today's biosciences.

Reviews

'This is a pioneering and outstanding book with its interdisciplinary style of presentation, which aids the reader’s understanding of morphometrics (shape analysis) and explains how to apply its tools. It does not hesitate to use a wide variety of subjects to achieve its objectives: statistics, algebra and arithmetic. To make it a hands-on text, it also provides S+ code of the tools described. The text is very user-friendly as it is written in an informal and accessible style. The book will be essential reading for researchers and students in the area; it demonstrates exquisite scholarship and I cannot recommend this text more highly.'

K. V. Mardia - University of Leeds

'This is a unique book; one that not only provides the basic formulae and concepts for undertaking quantitative data analyses, but also explains and illustrates the origins of these concepts, the controversies they embody, their links to other branches of science, and the personalities behind their creation. It's a marvellous tour de force and one I suspect few others could have written with such verve and authority. Required reading for anyone seeking to understand - and especially to teach - methods of linear data analysis generally and the analysis of morphological data in particular.'

Norman MacLeod - The Natural History Museum, London

'This much-needed book provides an introduction to morphometric methods accessible to the biologist. Beyond an exposition of the basic machinery of morphometrics, Bookstein includes history, context, and a re-examination of the bases for morphometric analyses. A welcome contribution to the literature, this volume will be a mandatory and oft-referenced addition to both the novice and experienced morphometrician's library. After twenty years, I finally have a textbook for my courses in morphometrics. Outstanding!'

Dennis Slice - Florida State University

'Statistics is the common language of the sciences, but few scientists speak it as fluently as Fred L. Bookstein. His new book starts by introducing the basic vocabulary of statistics - averages, correlation, regression - and continues to explain the foundations of multivariate statistics and geometric morphometrics. Even though written for advanced students, the historical, conceptual, and geometrical insights in this book will surprise even experienced scientists and statisticians.'

Philipp Mitteröcker - University of Vienna

Refine List

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

Contents

Contents
References

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed.