[R-sig-eco] PART FUNDED SCHOLARSHIPS - Advances in Spatial Analysis of Multivariate Ecological Data - STATS COURSE - Pierre Legendre - April 2017

Wed Mar 1 11:15:57 CET 2017

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 oliverhooker at 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 Monday 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 oliverhooker at 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 oliverhooker at 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

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

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