Geometric morphometrics using R (GMMR01)
19th February 2018 - 23rd February 2018£260.00 - £600.00
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 assumed, and is in fact 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.
Research postgraduates, practicing academics in ecology, evolution, and anthroplogy.
We offer COURSE ONLY and ACCOMMODATION PACKAGES;
• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, dinner, refreshments, minibus to and from meeting point and accommodation. Accommodation is multiple occupancy (max 3 people) single sex en-suite rooms. Arrival Sunday 19th February and departure Friday 24th February PM.
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Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact firstname.lastname@example.org Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PRstatistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PRstatistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.
Each day there will be theoretical sessions (lectures) based on particular themes as outlined in the course timetable, as well as practical sessions based on the topics covered during the theory sessions. While practice datasets will be available, it is strongly recommended that participants come with their own datasets. On the last day of the workshop participants are expected to present a small research project they have completed during the week, to demonstrate some of the techniques they have learned.
Assumed quantitative knowledge
Some basic understanding of statistics.
Assumed computer background
Familiarity with R. Ability to import/export data, manipulate data frames.
Equipment and software requirements
A laptop/personal computer with a working version of R or RStudio installed. Additionally the R-package geomorph should be installed prior to arrival. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links
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Meet at Margam discovery centre at approximately 18:30 (Margam discovery centre).Monday 19th – Classes from 09:00 to 18:00
1: Morphometrics: History, Introduction and Data Types
2: Review of matrix algebra and multivariate statistics
4: Software demonstration and lab practicumTuesday 20th – Classes from 09:00 to 18:00
1: Shape spaces, shape variables, PCA
2: GPA with semilandmarks
3: Shape covariation
4: Software demonstration and lab practicumWednesday 21st – Classes from 09:00 to 18:00
1: Phylogenetic shape variation
2: Group Differences & Trajectory Analysis
4: Software demonstration and lab practicumThursday 22nd – Classes from 09:00 to 18:00
2: Missing Data
3: Integration and Modularity
5: Software demonstration and lab practicumFriday 23rd – Classes from 09:00 to 16:00
1: Future Directions
2: Lab Pacticum
3: Student Presentations