Paleonet: International course on 3D Geometric Morphometrics, Barcelona (Spain).

[soledad.esteban]

Dear colleagues,
 
The 6th edition of our course "3D Geometric Morphometrics" has registration already open.
 
Dates: May 23rd - 27th, 2016.
 
Instructor: Dr Melissa Tallman (Grand Valley State University, USA).
 
PLACE:  Facilities of the Centre de Restauració i Interpretació Paleontologica, Els Hostalets de Pierola,  Barcelona (Spain). 

Registration and more info: http://www.transmittingscience.org/courses/gm/3d-gm/


Testimonials of previous editions: http://www.transmittingscience.org/courses/gm/3d-gm/#Testimonials
 
PROGRAM:
 
Types of data acquisition: Using a microscribe. Collecting CT scans & Surface Scans. - Demonstration of Stratovan Checkpoint.


Brief Review of Fundamentals of Morphometrics: - How to choose landmarks. - Generalized Procrustes Analysis. - Other types of alignment. - Thin plate spline warping. Processing Microscribe data. - Using DVLR to merge two views. - Using resample to resample a line. Using Landmark Editor to collect data on surfaces. - Sliding semi-landmarks (using R geomorph package).


- How to do a precision test on 3D data.


- Data exploration: PCA analyses: Using Morphologika. Using MorphoJ. Between-group PCAs. PCAs in Procrustes form space.


- Visualizing shape change: Using MorphoJ in conjunction with Landmark Editor. Making calculations and visualizing shape changes in PCA morphospace. Calculating PCA scores post hoc.


- Data exploration: Regressions. Visualizing change that is associated with size (MorphoJ). Removing change associated from size from your data (MorphoJ). Common allometric trajectories. Comparing vector directions. Extracting linear dimensions from 3D data and using them as covariates.


- Data exploration: PLS analyses. Using MorphoJ to mean center (or not). Visualizing shape change in Landmark editor.


- Data exploration: Phylogeny. Visualizing shape changes in MorphoJ along a tree. Importing covariates and visualizing shape change associated with taxonomy (using MorphoJ). Creating a phyomorphospace. Correcting for phylogeny in PCA.


- Data interpretations: Using mean configurations (PAST) and Procrustes distances. Minimum spanning trees. Variability within a sample (comparing fossil distributions to extant distributions).


- Retrodeformation.


This course is organized by Transmitting Science, the Institut Català de Paleontologia and the Centre de Restauració i Interpretació Paleontologica.
 
Please feel free to distribute this information between your colleagues if you consider it appropriate.


With best regards
Soledad De Esteban-Trivigno
Institut Català de Paleontologia Miquel Crusafont (ICP)

Campus de la Universitat Autònoma de Barcelona
Cerdanyola del Vallès (Barcelona). Spain
www.icp.cat