Course on Geometric Morphometrics Using R - Adams, Collyer, Kaliontzopoulou - Feb 2018

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Course on Geometric Morphometrics Using R - Adams, Collyer, Kaliontzopoulou - Feb 2018

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 [hidden email] 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

-----------------------------------------------------------------------------------

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

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