Geometric Morphometrics Using R (GMMR01)
This course is being delivered by Prof. Dean Adams, Prof. Michael
Collyer and Dr. Antigoni Kaliontzopoulou
This course will run from 5th - 9th June 2017 at Millport Field centre
on the Isle of Cumbre, Scotland. Please note that although the course is
held on an island it is extremely accessible and easy to reach using
public transport.
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 cost is £520 for students and academic staff and £630 for
people working in industry.
Accommodation package available for £275, includes all meals and
refreshments.
Course Programme
Sunday 5th Meet at Millport field centre at approximately 18:30.
Monday 6th – Classes from 09:00 to 18:001:
1: Morphometrics: History, Introduction and Data Types
2: Review of matrix algebra and multivariate statistics
3: Superimposition
4: Software demonstration and lab practicum
Tuesday 7th – 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 8th – 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 9th – 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 10th – 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
Please feel free to distribute this information anywhere you think
suitable
Upcoming courses - email for details oliverhoo...@prstatistics.com
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28th Feb – 3rd Mar 2017, Scotland, Dr. Andrew Parnell, Dr. Andrew
Jackson
http://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm03/
2. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
6th – 10th March 2017, Scotland, Dr. Marco Scotti
http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/
3. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R
#MVSP
3rd – 7th April 2017, Scotland, Prof. Pierre Legendre, Dr. Olivier
Gauthier
http://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp02/
4. ADVANCING IN STATISTICAL MODELLING FOR EVOLUTIONARY BIOLOGISTS AND
ECOLOGISTS USING R #ADVR
17th – 21st April 2017, Scotland, Dr. Luc Bussiere, Dr. Ane Timenes
Laugen
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/
5. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR
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15th - 19th May, Scotland Dr. Aline Quadros
http://www.prstatistics.com/course/coding-data-management-and-shiny-applications-using-rstudio-for-evolutionary-biologists-and-ecologists-cdsr01/
6. GEOMETRIC MORPHOMETRICS USING R #GMMR
5th – 9th June 2017, Scotland, Prof. Dean Adams, Prof. Michael
Collyer, Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/
7. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
19th – 23rd June, Scotland, Prof. Subhash Lele, Dr. Peter Solymos
http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/
8. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
26th – 30th June, Canada, Dr. Andrew Parnell
9. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB
3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner
http://www.prstatistics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/
10. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES
#METR01
24th – 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena
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11. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #SPAE
7th – 12th August 2017, Scotland, Prof. Jason Matthiopoulos, Dr. James
Grecian
http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae05/
12. ECOLOGICAL NICHE MODELLING USING R #ENMR
16th – 20th October 2017, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/
13. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL
16th – 20th October, Scotland, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/
14. GENETIC DATA ANALYSIS AND EXPLORATION USING R #GDAR
23rd – 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar
http://www.prstatistics.com/course/genetic-data-analysis-exploration-using-r-gdar03/
15. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY
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23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck
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16. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG
6th – 10th November, Wales, Prof. Rodney Dyer
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17. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt
Denwood
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/
18. INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS
#IRMS
27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi
http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/
19. INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
27th Nov – 1st Dec, Wales, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-python-for-biologists-ipyb04/
20. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP
11th – 15th December 2017, Wales, Dr. Martin Jones
http://www.prstatistics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/
21. ADVANCING IN STATISTICAL MODELLING USING R #ADVR
11th – 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay,
Dr. Ane Timenes Laugen,
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/
22. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb 2018, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/
23. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME
??th - ??th February 2018, Wales, Dr Luca Borger, Dr. John Fieberg
24. AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR
25. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND
COMPUTATION #FEER01
5th – 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars
Götzenberger, Dr. Carlos Carmona
http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/
26. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL
--
Oliver Hooker PhD.
PR statistics
3/1
128 Brunswick Street
Glasgow
G1 1TF
+44 (0) 7966500340
www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/
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