Geometric Morphometrics Using R (GMMR01) *http://www.prstatistics.com/course/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 oliverhoo...@prstatistics.com or visit the website *www.prstatistics.com* <http://www.prstatistics.com/> *http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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/* <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 ----------------------------------------------------------------------------------- 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 -- MORPHMET may be accessed via its webpage at http://www.morphometrics.org --- You received this message because you are subscribed to the Google Groups "MORPHMET" group. To unsubscribe from this group and stop receiving emails from it, send an email to morphmet+unsubscr...@morphometrics.org.
