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[Drosophila] International course on 3D Geometric Morphometrics, Barcelona (Spain).

Soledad De Esteban Trivigno via dros%40net.bio.net (by soledad.esteban from transmittingscience.org)
Thu Aug 20 13:59:35 EST 2015


   De= ar colleagues,
   
   
   The 6th edition of our course "3D Geometric Morphometrics"= ; has
   registration already open.
   
   
   [DEL: Dates: May 23rd - 27th, 2016. :DEL]
   
   
   Instructor: Dr M= elissa Tallman (Grand Valley State University, USA).
   
   
   PLACE: Facilities of the Ce= ntre de Restauració i Interpretació
   Paleontologica, Els Hostalets= de Pierola, Barcelona (Spain).
   Registration and more info: [1]http://www.t=
   ransmittingscience.org/courses/gm/3d-gm/
   
   Testimonials of previous edit= ions:
   http://www.transmittingscience.org/courses/gm/3d-gm/#Testimonials
   
   
   PROGRAM:=
   
   
   Type= s of data acquisition: Using a microscribe. Collecting CT scans
   & Surfa= ce Scans. - Demonstration of Stratovan Checkpoint.
   =
   
   Brief Review of = Fundamentals of Morphometrics: - How to choose
   landmarks. - Generalized Pro= crustes Analysis. - Other types of
   alignment. - Thin plate spline warping. = Processing Microscribe data.
   - Using DVLR to merge two views. - Using resam= ple 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 sp= ace.
   
   - Visualizing shape change: Using MorphoJ in conjunction with =
   Landmark Editor. Making calculations and visualizing shape changes in
   PCA m= orphospace. Calculating PCA scores post hoc.
   
   [DEL: - Data exploration: Re= gressions. Visualizing change that is
   associated with size (MorphoJ). Remov= ing change associated from size
   from your data (MorphoJ). Common allometric= trajectories. Comparing
   vector directions. Extracting linear dimensions fr= om 3D data and
   using them as covariates. :DEL]
   
   - Data exploration: PLS an= alyses. Using MorphoJ to mean center (or
   not). Visualizing shape change in = Landmark editor.
   
   - Data exploration: Phylogeny. Visualizing shape c= hanges 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 dis= tributions).
   
   - Retrodeformation.
   
   This course is organize= d by Transmitting Science, the Institut
   Català de Paleontologia and th= e Centre de Restauració i
   Interpretació Paleontologica.
   
   
   Please feel fr= ee to distribute this information between your
   colleagues if you consider i= t appropriate.
   
   With best regards
   
   Soledad De Esteban-Trivign= o, PhD
   
   Course Coor= dinator
   
   courses from tr= ansmittingscience.org
   
   Transmitting Science
   
   [2]= www.transmittingscie= nce.org

References

   1. 3D"http://www.transmittingscience.org/courses/gm/=
   2. 3D"http://www.t=/


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