Foundations of Geometric Morphometrics – a successful course

Foundations of Geometric Morphometrics – a successful course

6 Feb 2025

Carmelo has just completed giving the course on Foundations of geometric morphometrics (3-5 February 2025) organised by the German company Physalia Courses.

This is a 3-day course designed for beginners, covering essential topics such as acquiring 2D and 3D geometric morphometric data, experimental design, data quality, and data manipulation (e.g., through generalized Procrustes analysis). This course will provide a solid foundation, with a limited focus on downstream data analyses.

This year’s course has seen the participation of several engaged participants from many countries and different continents.

 

Participants more interested in the analyses, instead, can enroll in the course Multidimensional phenotypic evolution (which will take place 10-14 March 2025) – a 5-day course aimed at both beginners and intermediate users, focusing on downstream analyses to interpret variation in multidimensional traits. 

This is the first edition of these courses in this format as in previous years Carmelo had delivered 7 editions of a single course in Geometric Morphometrics. The new format allows more time to delve even deeper in data acquisition and data analysis and allows participants to choose whether they want to focus on a specific area or do both. Physalia Courses also offers discounts for participants who enroll in both courses. Indeed, several participants of the course on Foundations of geometric morphometrics have already enrolled in the companion course in Multidimensional phenotypic evolution. As of today, it is still possible to enroll to this year’s edition of the course in Multidimensional phenotypic evolution.

For more detailed information on each course, please visit the Physalia Courses website:

From Media

Screenshot at the beginning of the course on Foundations of geometric morphometrics
Screenshot on the last day of the course on Foundations of geometric morphometrics