PR STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME THEY CAN OFFER 5 PART-FUNDED SCHOLARSHIPS FOR OUR UP-COMING COURSE “Advances in Spatial Analysis of Multivariate Ecological Data: Theory and Practice”.
SCHOLARSHIPS CONTRIBUTE TOWARDS TUITION FEES AND ACCOMMODATION WITH 5‘ALL INCLUSIVE PLACES’ AVAILABLE AT £550.00 (Fees have been subsidised by 33% from £820.00). Applications should be sent to oliverhoo...@prstatistics.com and contain the following. 1. Full name 2. Institute name 3. PhD subject title or Post doc research questions 4. Do you hold a funded position 5. 150 words why this course would be relevant to your research or how it would help. Application deadline is Thursday 16th March 2017 We still have ‘normal’ places available for anyone else interested. Full course details are given below http://www.prstatistics.com/course/advances-in-spatial-analysis-of- multivariate-ecological-data-theory-and-practice-mvsp02/ This course is being delivered by Prof. Pierre Legendre who is a leading expert in numerical ecology and author of the book titled ‘Numerical ecology’ This course will run from 3rd – 7th April at Margam Discovery Centre, Wales. The course will describe recent methods (concepts and R tools) that can be used to analyse spatial patterns in community ecology measured at a genetic, species and family level. There will also be a new additional module on the final day “Is the Mantel test useful for spatial analysis in ecology and genetics?”. The umbrella concept of the course is beta diversity, which is the spatial variation of communities. These methods are applicable to all types of communities (bacteria, plants, animals) sampled along transects, regular grids or irregularly distributed sites. The new methods, collectively referred to as spatial eigen-function analysis, are grounded into techniques commonly used by community ecologists, which will be described first: simple ordination (PCA, CA, PCoA), multivariate regression and canonical analysis, permutation tests. The choice of dissimilarities that are appropriate for community composition data will also be discussed. The focal question is to determine how much of the community variation (beta diversity) is due to environmental sorting and to community-based processes, including neutral processes. Recently developed methods to partition beta diversity in different ways will be presented. Extensions will be made to temporal and space-time data. Course content is as follows Day 1 • Introduction to data analysis. • Ordination in reduced space: principal component analysis (PCA), correspondence analysis (CA), principal coordinate analysis (PCoA). • Transformation of species abundance data tables prior to linear analyses. Day 2 • Measures of similarity and distance, especially for community composition data. • Multiple linear regression. R-square, adjusted R-square, AIC, tests of significance. • Polynomial regression. • Partial regression and variation partitioning. Day 3 • Statistical testing by permutation. • Canonical redundancy analysis (RDA) and canonical correspondence analysis (CCA). Multivariate analysis of variance by canonical analysis. • Forward selection of environmental variables in RDA. Day 4 • Origin of spatial structures. • Beta diversity partitioning and LCBD indices • Replacement and richness difference components of beta diversity. Day 5 • Spatial modelling: Multi-scale modelling of the spatial structure of ecological communities: dbMEM, generalized MEM, and AEM methods. • Community surveys through space and time: testing the space-time interaction in repeated surveys. • Additional module depending on time – Is the Mantel test useful for spatial analysis in ecology and genetics? Please email any inquiries to oliverhoo...@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhoo...@prstatistics.com STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM 28th Feb – 3rd Mar 2017, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson http://www.prstatistics.com/course/stable-isotope-mixing-models-using-r- simm03/ NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA 6th – 10th March 2017, Scotland, Dr. Marco Scotti http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/ ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP 3rd – 7th April 2017, Scotland, Prof. Pierre Legendre, Dr. Olivier Gauthier http://www.prstatistics.com/course/advances-in-spatial-analysis-of- multivariate-ecological-data-theory-and-practice-mvsp02/ 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/ CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR 15th - 19th May, Scotland Dr. Aline Quadros http://www.prstatistics.com/course/coding-data-management-and-shiny- applications-using-rstudio-for-evolutionary-biologists-and-ecologists- cdsr01/ 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/ 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/ TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME 26th – 30th June, Canada, Dr. Andrew Parnell BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB 3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner http://www.prstatistics.com/course/bioinformatics-for-geneticists-and- biologists-bigb02/ META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR01 24th – 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena Kulinskaya 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/ 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/ INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using- linux-ibul02/ 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/ 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/ 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/ 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/ 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/ INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB 27th Nov – 1st Dec, Wales, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-python-for-biologists- ipyb04/ DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP 11th – 15th December 2017, Wales, Dr. Martin Jones http://www.prstatistics.com/course/data-visualisation-and-manipulation- using-python-dvmp01/ 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/ 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/ ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME ??th - ??th February 2018, Wales, Dr Luca Borger, Dr. John Fieberg AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR ??th - ??th February 2018, Wales, FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER01 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/ -- Oliver Hooker PhD. PR statistics most recent publication - The physiological costs of prey switching reinforce foraging specialization - Journal of animal ecology - http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12632/full 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