Geometric morphometrics using R (GMMR01)

19th - 23rd February 2018 at Margam discovery centre, Wales, UK.

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

Places 1-10 are priced at £500 per person, 11-20 are £550 per person and 
21-30 are £600 per person.

Course overview: 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.

If you have any questions please feel free to email 
oliverhoo...@prstatistics.com alternatively you canfind out more details 
and/or book using the link below

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

 

1.       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/*
 
<http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/>

 

2.       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/*
 
<http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/>

 

3.       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/* 
<http://www.prstatistics.com/course/time-series-models-foe-ecologists-tsme01/>

 

4.       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/*
 
<http://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr01/>

 

5.       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/*
 
<http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae05/>

 

6.       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/* 
<http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/>

 

7.       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/*
 
<http://www.prstatistics.com/course/genetic-data-analysis-exploration-using-r-gdar03/>

 

8.       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/*
 
<http://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr01/>

 

9.       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/*
 
<http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/>

 

10.   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/*
 
<http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/>

 

11.   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/*
 
<http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/>

 

12.   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/*
 
<http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/>

 

13.   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/*
 
<http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/>

 

14.   ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME

19th – 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg

 

15.   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/* 
<http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/>


16.   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/*
 
<http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/>

 

17.   ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R 
#MVSP

Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be 
confirmed

 

18.   STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM

Dr. Andrew Parnell, Dr. Andrew Jackson – Date and location to be confirmed

 

19.   NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA

Dr. Marco Scotti - Date and location to be confirmed

 

20.   MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0

Prof David Warton - Date and location to be confirmed

 

21.   PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL

Dr. Emmanuel Paradis – Date and location to be confirmed


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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