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Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM04)
28 May 2018 - 31 May 2018£235.00 - £550.00
This course will cover the concepts, technical background and use of stable isotope mixing models (SIMMs) with a particular focus on running them in R. This course will cover the concepts, technical background and use of stable isotope mixing models (SIMMs) with a particular focus on running them in R. Recently SIMMs have become a very popular tool for quantifying food webs and thus the diet of predators and prey in an ecosystem. Starting with only basic understanding of statistical models, we will cover the do’s and don’ts of using SIMMs with a particular focus on the widely used package SIAR and the more advanced MixSIAR. Participants will be taught some of the advanced features of these packages, which will enable them to produce a richer class of output, and are encouraged to bring their own data sets and problems to study during the round-table discussions.
The course is aimed at biologists with a basic to moderate knowledge in R. The course is aimed at anyone (academic or industry) who research is heavily reliant on analysing stable isotope data. There is a strong association with data on food webs and trophic relationships, but the tools learned can be applied to other systems.
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 – 30 places
Duration – 4 days
Contact hours – Approx. 30 hours
ECT’s – Equal to 2 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, lunch, dinner, refreshments and accommodation. Accommodation is single or double occupancy, single sex en-suite rooms. Arrival Sunday 27th May and departure Thursday 31st May PM.
To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.
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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 firstname.lastname@example.org 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.
A mixture of lectures and hands-on practicals. 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. Such as regression modelling and generalised linear models. Some understanding of Bayesian Statistics is recommended but will be covered during the introductory sessions.
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.
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Meet at Orford Musique Between 16:00 and 20:00.
Module 1: Introduction; why use a SIMM?
Module 2: An introduction to bayesian statistics.
Module 3: Differences between regression models and SIMMs.
Practical: Revision on using R to load data, create plots and fit statistical models.
Round table discussion: Understanding the output from a Bayesian model.
Tuesday 29th – Classes from 09:00 to 17:00
Understanding and using SIAR.
Module 4: Do’s and Don’ts of using SIAR.
Module 5: The statistical model behind SIAR.
Practical: Using SIAR for real-world data sets; reporting output; creating richer summaries and plots.
Round table discussion: Issues when using simple SIMMs.
Wednesday 30th – Classes from 09:00 to 17:00
SIBER and MixSIAR.
Module 6: Creating and understanding Stable Isotope Bayesian Ellipses (SIBER).
Module 7: What are the differences between SIAR and MixSIAR?
Practical: Using MixSIAR on real world data sets; benefits over SIAR.
Round table discussion: When to use which type of SIMM.
Thursday 31st – Classes from 09:00 to 17:00
Module 8: Using MixSIAR for complex data sets: time series and mixed effects models.
Module 9: Source grouping: when and how?
Module 10: Building your own SIMM with JAGS.
Practical: Running advanced SIMMs with JAGS.
Round table discussion: Bring your own data set.