Advertisement

Morphometrics for Nonmorphometricians

  • Ashraf M.T. Elewa

Part of the Lecture Notes in Earth Sciences book series (LNEARTH, volume 124)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Introduction and Historical Review of the Subject

    1. Front Matter
      Pages 1-1
    2. Ashraf M.T. Elewa
      Pages 3-7
    3. Richard A. Reyment
      Pages 9-24
  3. Methodological Approach (Quantification and Visualization of Shape, and Traditional and Geometric Morphometrics)

    1. Front Matter
      Pages 25-25
    2. Richard E. Strauss
      Pages 73-91
    3. Ahmed A. Abdelhady, Ashraf M.T. Elewa
      Pages 157-176
  4. Applications

    1. Front Matter
      Pages 177-177
    2. Andrea Cardini, José Alexandre Felizola Diniz Filho, P. David Polly, Sarah Elton
      Pages 191-217
    3. Steven X. Cadrin
      Pages 219-232
    4. Casper J. Breuker, Melanie Gibbs, Stefan Van Dongen, Thomas Merckx, Hans Van Dyck
      Pages 271-287
    5. Ana L. Martínez-Carrillo, Manuel Jesús Lucena, José Manuel Fuertes, Arturo Ruiz
      Pages 307-323
  5. Scope to the Future of Morphometrics

    1. Front Matter
      Pages 343-343
    2. Richard E. Strauss
      Pages 345-352
  6. Back Matter
    Pages 363-367

About this book

Introduction

Morphometrics is concerned with the study of variations and change in the form (size and shape) of organisms or objects adding a quantitative element to descriptions and thereby facilitating the comparison of different objects and organisms. This volume provides an introduction to morphometrics in a clear and simple way without recourse to complex mathematics and statistics. This introduction is followed by a series of case studies describing the variety of applications of morphometrics from paleontology and evolutionary ecology to archaeological artifacts analysis. This is followed by a presentation of future applications of morphometrics and state of the art software for analyzing and comparing shape.

Keywords

Geometric Morphometrics Nonmorphometricians Shape Software artificial intelligence computer vision data analysis linear optimization

Editors and affiliations

  • Ashraf M.T. Elewa
    • 1
  1. 1.Fac. Science, Dept. GeologyMinia UniversityMiniaEgypt

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-95853-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-540-95852-9
  • Online ISBN 978-3-540-95853-6
  • Series Print ISSN 0930-0317
  • Buy this book on publisher's site