Dear all,

we will run a course on "Geometric Morphometrics" next March (5-9.03.18) with 
our instructor Dr. Carmelo Fruciano (Queensland University of Technology 
(Brisbane, Australia)).


Geometric morphometrics has become a standard in biological research because it 
combines statistical rigour and ease of interpretation. Through geometric 
morphometrics, biological form is quantified, analysed and the results are 
expressed as easily interpretable and visually impactful shape changes. This 
course covers the main common practices of modern geometric morphometrics, 
including: acquiring data, analysing it, visualizing and interpreting the 

Workshop Format

The course will be delivered over five days and will comprise both lectures and 
hands-on sessions. The lectures will cover both basic theoretical aspects and 
their practical implementation in research practice and software. During the 
hands-on sessions, the attendees will have the chance of both using example 
datasets and applying the knowledge acquired to their own data. The course will 
be focused mainly on 2D data and on easy-to-use software with graphical user 
interface to maximize the ability to understand concepts and apply them. 
However, some information on 3D data and on R implementations will be provided, 
as appropriate.  

Who Should Attend

This course is aimed at beginners and intermediate users. In other words, it is 
aimed at researchers who intend to use geometric morphometrics or who have 
started performing geometric morphometric analyses but feel they need a more 
structured background.

Session content

Monday 5th – Classes from 09:30 to 17:30 


Geometric morphometrics: overview and potential applications:

Traditional and geometric morphometrics
An overview of common analyses
Examples of geometric morphometrics applied to biological problems


>From biological objects to numerical representation:

Overview of typical devices used to digitalise biological objects 
Landmarks, semilandmarks, outlines and surfaces - different types of geometric 
morphometric data
Most commonly used geometric morphometric software
Data quality, most common pitfalls in study design and data acquisition


 Tuesday 6th – Classes from 09:30 to 17:30

Generalized Procrustes analysis (GPA) – the core of most geometric 

Principal component analysis (PCA)

Comparing groups:

Between-group PCA
Canonical variate analysis (CVA)
Tests of difference in means


Wednesday 7th – Classes from 09:30 to 17:30

Co-variation between size and shape:

Allometry, regression and general linear models

Co-variation between shapes:

Partial least squares analysis (PLS)
Modularity and integration


Thursday 8th – Classes from 09:30 to 17:30 

Combining analyses in a basic workflow:

Preliminary assessment of data quality
Typical basic workflow

Expanding the basic workflow: variation in geographic space

Expanding the basic workflow: association between shape and environmental 


Friday 9th – Classes from 09:30 to 17:30

Expanding the basic workflow: elements of phylogenetic comparative analyses

 Review and open discussion

 Presentation of attendees’ analyses on their own data 

Please visit our website to register:

Best regards,

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR

Twitter: @physacourses

MORPHMET may be accessed via its webpage at
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