[R-sig-eco] Course on Geometric Morphometrics Using R - Adams, Collyer, Kaliontzopoulou - Feb 2018

Wed Jun 21 14:23:01 CEST 2017

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 oliverhooker at 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.

1. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
19th – 23rd June, Canada, Prof. Subhash Lele, Dr. Peter Solymos
http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/

2. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
26th – 30th June, Canada, Dr. Andrew Parnell
http://www.prstatistics.com/course/time-series-models-foe-ecologists-tsme01/

3. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES 
#METR01
24th – 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena 
Kulinskaya
http://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr01/

4. 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/

5. 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/

6. 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/

7. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS USING R #SEMR
23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck
http://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr01/

8. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG
6th – 10th November, Wales, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/

9. 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/

10. 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/

11. 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/

12. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME
19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg

13. GEOMETRIC MORPHOMETRICS USING R #GMMR
19th - 23rd February 2018, Wales, Prof. Dean Adams, Prof. Michael 
Collyer, Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/

14. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND 
COMPUTATION #FEER
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/

15. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R 
#MVSP
Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed

16. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM
Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be 
confirmed

17. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
Dr. Marco Scotti - Date and location to be confirmed

18. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0
Prof David Warton - Date and location to be confirmed

19. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL
Dr. Emmanuel Paradis – Date and location to be confirmed

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Upcoming PR informatics courses

1. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB
3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner
http://www.prinformatics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/

2. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL
16th – 20th October, Scotland, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/

3. INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
27th Nov – 1st Dec, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb04/

4. 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/

5. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP
11th – 15th December 2017, Wales, Dr. Martin Jones
http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/

6. EUKARYOTIC METABARCODING
23rd – 27th July 2018, Scotland, Dr. Owen Wangensteen
http://www.prinformatics.com/course/eukaryotic-metabarcoding-eukb01/

7. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR 
EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR
Dr. Aline Quadros

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Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

3/1, 128 Brunswick Street
Glasgow
G1 1TF

+44 (0) 7966500340

-- 
Oliver Hooker PhD.
PR statistics

2017 publications -

Ecosystem size predicts eco-morphological variability in post-glacial 
diversification. Ecology and Evolution. In press.

The physiological costs of prey switching reinforce foraging 
specialization. Journal of animal ecology.

prstatistics.com
facebook.com/prstatistics/
twitter.com/PRstatistics
groups.google.com/d/forum/pr-statistics-post-course-forum
prstatistics.com/organiser/oliver-hooker/

3/1, 128 Brunswick Street
Glasgow
G1 1TF

+44 (0) 7966500340