[MORPHMET] COURSE Geometric Morphometrics Using R Prof. D. Adams, Prof. M. Collyer and Dr. A. Kaliontzopoulou

2017-09-19 Thread Oliver Hooker 


Geometric Morphometrics Using R (GMMR01)


https://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

 

This course will run from 19th – 23rd February 2018 at Margam Discovery 
Centre, Wales, UK.

 

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 Programme

 

Sunday 5th Meet at Millport field centre at approximately 18:30.

 

Monday 6th – Classes from 09:00 to 17:30

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 17:30

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 17:30

1: Phylogenetic shape variation

2: Group Differences & Trajectory Analysis

3: Allometry

4: Software demonstration and lab practicum

 

Thursday 9th – Classes from 09:00 to 17:30

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

 

ECOLOGICAL NICHE MODELLING USING R #ENMR

16th – 20th October 2017, SCENE, Scotland, Dr. Neftali Sillero

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


 

INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL

16th – 20th October, SCENE, Scotland, Dr. Martin Jones

*http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/*
 


 

REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS #RDPG

23rd – 27th October 2017, Wales, Dr. Thibaut Jombart, Zhian Kavar

*https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg01/*
 


 

STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS 
USING R #SEMR

23rd – 27th October 2017, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck

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


 

LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG

6th – 10th November 2017, Wales, Prof. Rodney Dyer

[MORPHMET] COURSE - Geometric Morphometrics Using R - Prof. D Adams, Prof. M Collyer and Dr. A Kaliontzopoulou

2017-09-19 Thread Oliver Hooker 
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

1.   ECOLOGICAL NICHE MODELLING USING R #ENMR

16th – 20th October 2017, SCENE, Scotland, Dr. Neftali Sillero

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


 

2.   INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL

16th – 20th October, SCENE, Scotland, Dr. Martin Jones

*http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/*
 


 

3.   REPRODUCIBLE DATA SCIENCE FOR POPULATION GENETICS #RDPG

23rd – 27th October 2017, Wales, Dr. Thibaut Jombart, Zhian Kavar

*https://www.prstatistics.com/course/reproducible-data-science-for-population-genetics-rdpg01/*
 


 

4.   STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS USING R #SEMR

23rd – 27th October 2017, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck

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