Contributors -- Abbreviations and notations -- Introduction -- Acquiring and manipulating morphometric data -- Traditional statistics for morphometrics -- Modern morphometrics based on configurations of landmarks -- Statistical analysis of shape using modern morphometrics -- Going further with R -- Appendix A: functions developed in this text -- Appendix B: packages used in this text
Summary
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 novi
