Applications of Geometric Morphometrics and Computational Imaging

Dear Colleagues,

In recent years, an increasing use of computational imaging techniques and of multivariate statistics, including those involved in geometric morphometrics (GM), has been observed in a wide range of disciplines.

On one hand, the digitization of organisms and objects using different techniques has allowed the collection of information at different levels. This has been particularly important in order to perform studies from different perspectives, including the macro and micro scale, as well as in contexts where internal structural data are also required or where the elements under study are particularly fragile.

On the other hand, the development of GM and its application to studies beyond biology has changed analyses of size and shape over the past decades, by substituting the traditional descriptive methods based on linear measurements for landmark-based methods by which it is possible to study size and shape variation and covariation, visualizing the results in terms of warpings and transformation grids.

In this context, original research including the application of imaging techniques in combination with advanced statistical methods such as geometric morphometrics are welcome in the present Special Issue. Scientific contributions can be related to works in biological or paleontological sciences and to procedures for the statistical analysis of morphological/geometrical features.

Dr. Miguel Ángel Maté-González
Dr. Julia Aramendi 
Guest Editors

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