Multivariate analysis of ecological communities in R with the VEGAN package (VGNR02)
29 April 2019 - 3 May 2019£275.00 - £540.00
This 5-day course will cover the concepts, methods, and R tools that can be used to analyse community ecology data. The course will review data processing techniques relevant to multivariate data sets. We will cover diversity and null-model analysis, distance measures and distance based multivariate methods, clustering, classification, and dimension reduction techniques using the vegan R extension package. We will use real world data sets to motivate the analyses, e.g. describing patterns along environmental or anthropogenic disturbance gradients, quantifying the effects of continuous and discrete predictors, and making predictions based on multivariate model results. We will emphasize visualization and reproducible workflows. Modules will consist of introductory lectures, guided computer coding, and exercises for the participants. The course is intended for intermediate R users with interest in community ecology, especially in the fields of terrestrial and wetland ecology, microbial ecology, and natural resource management.
Research postgraduates, practicing academics and primary investigators in spatial ecology and management and environmental professionals in government and industry.
Venue – Orford Musique, 3165 Chemin du Parc, Orford, QC J1X 7A2, Canada – Google Maps
If you are arriving by plane, the most convenient airport is the Montréal-Pierre Elliott Trudeau International Airport.
To get from the airport to Orford Musique, you can either take an airport shuttle, rent a car or use a taxi. Note that since Orford Musique is roughly 140 km (87 miles) from the Montréal-Pierre Elliott Trudeau International Airport, a taxi ride may be costly.
A good option for airport shuttles is to use the company Aeroshuttle (https://aeronavette.ca/en/home/). A one-way trip costs 90 $CAN + taxes (103.48 $CAN) while a round trip costs 120 $CAN + taxes (137.97 $CAN). This airport shuttle will get you directly to Orford Musique.
Montréal transit system and Limocar
A cheaper but more complicated option is to take bus 747 (trajet Centre-ville) from the Montréal-Pierre Elliott Trudeau International Airport and exit at the end of the line; the “Berri-UQÀM” stop (see map below). The bus should take roughly 60 minutes to reach this stop depending on traffic. In the bus, the fare is 10 CAN$ and only coins are accepted. It is also possible to by bus ticket at the airport at the STM information counter. The full details of the bus route is available here http://www.stm.info/sites/default/files/planibus_mars2018/en/747.pdf.
Availability – 15 places
Duration – 5 days
Contact hours – Approx. 37 hours
ECT’s – Equal to 3 ECT’s
Language – English
We offer COURSE ONLY and ACCOMMODATION PACKAGES;
• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast and lunch, evening meals will be organised during the week and will take place in Magog, a town near to the venue.
Accommodation is single or double occupancy, single sex en-suite rooms, arrival Sunday 28th April and departure Friday 3rd March.
To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.
Other payment options are available please email firstname.lastname@example.org
Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact email@example.com Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PR~statistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PR~statistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.
Introductory lectures on the concepts and refreshers on R usage. Intermediate-level lectures interspersed with hands-on mini practicals and longer projects. Data sets for computer practicals will be provided by the instructors, but participants are welcome to bring their own data.
Assumed quantitative knowledge
A basic understanding of statistical concepts. Specifically, generalised linear regression models, statistical significance, hypothesis testing.
Assumed computer background
Familiarity with R. Ability to import/export data, manipulate data frames, fit basic statistical models & generate simple exploratory and diagnostic plots.
Equipment and software requirements
A laptop/personal computer with a working version or R and RStudio installed. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links
UNSURE ABOUT SUITABLILITY THEN PLEASE ASK firstname.lastname@example.org
Meet at Orford Musique approx. 18:30
Monday 29th – Classes from 09:00 to 17:00
Module 1: Introduction to community data analysis, basics of programming in R
Module 2: Data processing (long and wide data representations, single and multiple table operations, data aggregation and transformation)
Tuesday 30th – Classes from 09:00 to 17:00
Module 3: Diversity analysis, species-abundance distributions, null-model analysis
Module 4: Distance measures and distance based methods (Mantel test, distance decay, etc.)
Wednesday 1st – Classes from 09:00 to 17:00
Module 5: Hierarchical and nonhierarchical clustering and classification
Module 6: Dispersion and permutational MANOVA
Thursday 2nd – Classes from 09:00 to 17:00
Module 7: Response curves, ordination (correspondence analysis, nonmetric scaling, constrained ordination).
Module 8: Fitting environmental variables to ordination, permutation based testing of the significance of constraints.
Friday 3rd – Classes from 09:00 to 16:30
Module 9: Indicator species analysis and multivariate calibration.
Modules 10: special topics and discussion, analyzing participants’ own data.
The instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.Any questions or queries I’ve had, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.In addition the course was very well organised, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things, I’ve also had a very good time during the week there.” Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England
(Attended ADVR course)