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
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 [hidden email] and contain
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 Monday 16th March 2017
We still have ‘normal’ places available for anyone else interested.
Full course details are given below
This course is being delivered by Prof. Pierre Legendre who is a leading
expert in numerical ecology and author of the book titled ‘Numerical
This course will run from 3rd – 7th April at Margam Discovery Centre,
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
Course content is as follows
• 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
• Measures of similarity and distance, especially for community
• Multiple linear regression. R-square, adjusted R-square, AIC, tests
• Polynomial regression.
• Partial regression and variation partitioning.
• 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.
• Origin of spatial structures.
• Beta diversity partitioning and LCBD indices
• Replacement and richness difference components of beta diversity.
• 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 [hidden email]
or visit our website www.prstatistics.com
Please feel free to distribute this material anywhere you feel is
Upcoming courses - email for details [hidden email]
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28th Feb – 3rd Mar 2017, Scotland, Dr. Andrew Parnell, Dr. Andrew
NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
6th – 10th March 2017, Scotland, Dr. Marco Scotti
ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R
3rd – 7th April 2017, Scotland, Prof. Pierre Legendre, Dr. Olivier
ADVANCING IN STATISTICAL MODELLING FOR EVOLUTIONARY BIOLOGISTS AND
ECOLOGISTS USING R #ADVR
17th – 21st April 2017, Scotland, Dr. Luc Bussiere, Dr. Ane Timenes
CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR
EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR
15th - 19th May, Scotland Dr. Aline Quadros
GEOMETRIC MORPHOMETRICS USING R #GMMR
5th – 9th June 2017, Scotland, Prof. Dean Adams, Prof. Michael
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19th – 23rd June, Canada, Prof. Subhash Lele, Dr. Peter Solymos
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
META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR01
24th – 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena
SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #SPAE
7th – 12th August 2017, Scotland, Prof. Jason Matthiopoulos, Dr. James
ECOLOGICAL NICHE MODELLING USING R #ENMR
16th – 20th October 2017, Scotland, Dr. Neftali Sillero
INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL
16th – 20th October, Scotland, Dr. Martin Jones
GENETIC DATA ANALYSIS AND EXPLORATION USING R #GDAR
23rd – 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar
STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS
USING R #SEMR
23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck
LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG
6th – 10th November, Wales, Prof. Rodney Dyer
APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME
20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt
INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS #IRMS
27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi
INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB
27th Nov – 1st Dec, Wales, Dr. Martin Jones
DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP
11th – 15th December 2017, Wales, Dr. Martin Jones
ADVANCING IN STATISTICAL MODELLING USING R #ADVR
11th – 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay,
Dr. Ane Timenes Laugen,
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb 2018, Scotland, Dr. Andrew Parnell
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
FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION
5th – 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars
Götzenberger, Dr. Carlos Carmona
Oliver Hooker PhD.
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