[R-sig-genetics] SpatialAnalysisOfMultivariateEcologicalData.PierreLegendre.3-7April2017.UK

Thu Feb 9 17:07:19 CET 2017

“Advances in Spatial Analysis of Multivariate Ecological Data: Theory 
and Practice”

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. 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

or to book online 
http://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp02/

Please feel free to distribute this material anywhere you feel is 
suitable

Upcoming courses - email for details oliverhooker at prstatistics.com

1.	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/

2.	NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA
6th – 10th March 2017, Scotland, Dr. Marco Scotti
http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/

3.	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/

4.	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/

5.	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/

6.	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/

7.	MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE
19th – 23rd June, Scotland, Prof. Subhash Lele, Dr. Peter Solymos
http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/

8.	TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME
26th – 30th June, Canada, Dr. Andrew Parnell

9.	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/

10.	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/

11.	ECOLOGICAL NICHE MODELLINGUSING R #ENMR
16th – 20th October 2017, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/

12.	INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL
16th – 20th October, Scotland, Dr. Martin Jones
http://www.prstatistics.com/course/introduction-to-bioinformatics-using-linux-ibul02/

13.	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/

14.	STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY 
BIOLOGISTS USING R #SEMR
23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck

15.	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/

16.	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/

17.	INTRODUCTION TO METHODS FOR REMOTE SENSING #IRMS
27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi

18.	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/

19.	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/

20.	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/

21.	INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM
29th Jan – 2nd Feb, Scotland, Dr. Andrew Parnell
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/

22.	ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME

23.	AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR

24.	PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL

-- 
Oliver Hooker PhD.
PR statistics

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Glasgow
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www.prstatistics.com
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