subject:"\[MORPHMET\] Course on Geometric morphometrics using R \- Adams, Collyer, Kaliontzopoulou, Feb 2018"

[MORPHMET] Course on Geometric morphometrics using R (Adams, Collyer, Kaliontzopoulou) Feb 2018

2017-06-21 Thread Oliver Hooker

Geometric Morphometrics Using R (GMMR01)

*http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/*

This course is being delivered by Prof. Dean Adams, Prof. Michael Collyer
and Dr. Antigoni Kaliontzopoulou and will run from 19th - 23rd February
2018 at Margam Discovery Centre, Wales, UK. Nearest Airport, Hethrow,
Gatwick, Bristol, Cardiff.

https://www.google.com/maps/place/Field+Studies+Council+-+Margam+Discovery+Centre/@51.555721,-3.7225627,17z/data=!3m1!4b1!4m5!3m4!1s0x486e663ddc578163:0x59d5928da312f1a2!8m2!3d51.555721!4d-3.720374?hl=en

The field of geometric morphometrics (GM) is concerned with the
quantification and analysis of patterns of shape variation, and its
covariation with other variables. Over the past several decades these
approaches have become a mainstay in the field of ecology, evolutionary
biology, and anthropology, and a panoply of analytical tools for addressing
specific biological hypotheses concerning shape have been developed. The
goal of this is to provide participants with a working knowledge of the
theory of geometric morphometrics, as well as practical training in the
application of these methods.

The course is organized in both theoretical and practical sessions. The
theoretical sessions will provide a comprehensive introduction to the
methods of landmark-based geometric morphometrics, which aims at providing
the participants with a solid theoretical background for understanding the
procedures used in shape data analysis. Practical sessions will include
worked examples, giving the participants the opportunity to gain hands-on
experience in the treatment of shape data using the R package geomorph.
These sessions focus on the generation of shape variables from primary
landmark data, the statistical treatment of shape variation with respect to
biological hypotheses, and the visualization of patterns of shape variation
and of the shapes themselves for interpretation of statistical findings,
using the R language for statistical programming. While practice datasets
will be available, it is strongly recommended that participants come with
their own datasets.

Note: Because this is a geometric morphometrics workshop in R, it is
required that participants have some working knowledge in R. The practical
sessions of the course will focus on GM-based analyses, and not basic R
user-interfacing. It is therefore strongly recommended that participants
refresh their R skills prior to attending the workshop.

Course fees start at £500 and accommodation packages are available for
£260, includes accommodation, meals and refreshments.

Course Programme

Meet at Margam Discovery Centre at approximately 18:30.

Monday 19th – Classes from 09:00 to 18:00
1: Morphometrics: History, Introduction and Data Types
2: Review of matrix algebra and multivariate statistics
3: Superimposition
4: Software demonstration and lab practicum

Tuesday 20th – Classes from 09:00 to 18:00
1: Shape spaces, shape variables, PCA
2: GPA with semi-landmarks
3: Shape covariation
4: Software demonstration and lab practicum

Wednesday 21st – Classes from 09:00 to 18:00
1: Phylogenetic shape variation
2: Group Differences & Trajectory Analysis
3: Allometry
4: Software demonstration and lab practicum

Thursday 22nd – Classes from 09:00 to 18:00
1: Assymetry
2: Missing Data
3: Integration and Modularity
4: Disparity
5: Software demonstration and lab practicum

Friday 23rd – Classes from 09:00 to 16:00
1: Future Directions
2: Lab Pacticum
3: Student Presentations

Please send inquiries to oliverhoo...@prstatistics.com or visit the website
*www.prstatistics.com*

*http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/*

Please feel free to distribute this information anywhere you think suitable.

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*http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/*

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[MORPHMET] Course on Geometric morphometrics using R - Adams, Collyer, Kaliontzopoulou, Feb 2018