This 4day course will run from 28th -3rd March 2017 at Millport field
centre, Isle of Cumbrae, Scotland (please note that although the field
centre in on an island it is extremely easy and uncomplicated to reach
by public transport from both within and outside the UK)
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
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 new, 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.
(PLEASE NOT THIS COURSE IS FOLLOWED BY 'NETWORK ANALYSIS OF ECOLOGICAL
DATA USING R - A COMBINED COURSE PACKAGE IS AVAILABLE - PLEASE EMAIL
Course content is as follows
Tuesday 28th – Classes from 09:00 to 17:00
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
Round table discussion: Understanding the output from a Bayesian model.
Wednesday 1st – 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.
Thursday 2nd – Classes from 09:00 to 17:00
SIBER and MixSIAR.
Module 6: Creating and understanding Stable Isotope Bayesian Ellipses
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.
Friday 3rd – Classes from 09:00 to 17:00
Module 8: Using MixSIAR for complex data sets: time series and mixed
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.
There will be a 15 minute morning coffee break, an hour for lunch, and
a15 minute afternoon coffee break. We keep the timing of these flexible
depending how the course advances. Breakfast is from 08:00-08:45 and
dinner is at 18:00 each day.
Please email any inquiries to [hidden email] or visit our
Please feel free to distribute this material anywhere you feel is
Upcoming courses - email for details [hidden email]
LANDSCAPE GENETIC DATA ANALYSIS USING R (October)
PHYLOGENETIC DATA ANALYSIS USING R (October/November)
SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (November)
ADVANCING IN STATISTICAL MODELLING USING R (December)
MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January)
ADVANCED PYTHON FOR BIOLOGISTS (February)
NETWORK ANALYSIS FOR ECOLOGISTS USING R (March)
INTRODUCTION TO GEOMETRIC MORPHOMETRICS USING R (June)
Dates still to be confirmed - email for details
[hidden email] INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS
BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS
GENETIC DATA ANALYSIS USING R
INTRODUCTION TO BIOINFORMATICS USING LINUX
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING