The aim of this course is to provide participants with an overview of morphometric approaches to studying morphological integration and modularity. The concepts of integration and modularity will be introduced and discussed in different contexts (e.g. development, individual variation, evolutionary change). The theoretical basis and application of different methods for analysing integration and modularity in geometric morphometric data will be presented. Lectures will be combined with hands-on demonstrations of the analyses. Participants are encouraged to bring their own morphometric data for analysis and discussion in the course.
Graduate or postgraduate degree in Life or Earth Sciences, basic knowledge of multivariate statistics and Geometric Morphometrics.
All participants must bring their own personal laptop.
We would like to encourage participants to bring along their own morphometrics data, as well as phylogenetic information related to this in case you have it.
Monday, September 10th, 2018. Review of some fundamental methods, introduction to MorphoJ.
- Size and shape, Procrustes fit, visualization of shape changes.
- Principal component analysis.
- Distinguishing groups: Canonical variates and discriminant analysis.
Tuesday, September 11th, 2018. A closer look at some properties of morphometric data.
- Measurement error and outliers.
- Symmetry and asymmetry.
- Regression: Allometry and size correction.
Wednesday, September 12th, 2018. Morphological integration and modularity.
- Partial least squares.
- Inferring developmental integration from fluctuating asymmetry.
Thursday, September 13th, 2018. Phylogeny and comparative methods.
- Mapping shape data onto phylogenies.
- Comparative methods.
- Advanced topics: Analyses across levels, evolutionary size correction.
Friday, September 14th, 2018. Special topics and combined analyses.
- Complex symmetries.
- Comparing covariance matrices (matrix correlation, ordination methods, etc.).
- Putting things together: Multi-level analyses.
Morning sessions will be used for lectures and demonstrations of analyses (participants will conduct their own analyses with software and data provided to them).
Afternoon sessions will be devoted to work in small groups. The first four afternoons will be used for analysis of the participants’ data as small group projects. During the last afternoon, participants will give informal presentations of the group work. There would be an evaluation at the end of the course, based on the group work presentations.
- Course Fee
- Early bird (until July 31st, 2019):
- 540 € *
(432 € for Ambassador Institutions)
- Regular (after July 31st, 2019):
- 675 € *
(540 € for Ambassador Institutions)
- This includes course material, coffee breaks and lunches (VAT included).
* Participants from companies/industry will have an extra charge of 100 €.