Stable Isotope Mixing Models (SIMMs) using SIAR, SIBER AND MixSIAR This course is being delivered by Dr Andrew Parnell and Dr Andrew Jackson who author the package SIAR - specifically designed to analyse stable isot isotope data
This course will be run from January 12th – 15th 2016 at SCENE (Scottish Ce Centre for Ecology and the Natural Environment), in Loch Lomond National Pa Park, Glasgow, United Kingdom 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 dos 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 advanced features of these packages, which will enable them to produce a richer class of o richer class of output, and are encouraged to bring their own data sets and problems to study problems to study during the round-table discussions. Curriculum: Day 1: Basic concepts Class 1: Introduction; why use a SIMM? Class 2: An introduction to Bayesian Statistics. Class 3: Differences between regression models and SIMMs. Practical: revision on using R to load data, create plots and fit statistic statistical models Round table discussion: understanding the output from a Bayesian model Day 2: Understanding and using SIAR Class 1: Dos and Don’ts of using SIAR Class 2: The statistical model behind SIAR Practical: Using SIAR for real-world data sets; reporting output; creating ric richer summaries and plots of the results Round table discussion: Issues when using simple SIMMs Day 3: SIBER and MixSIAR Class 1: Creating and understanding Stable Isotope Bayesian Ellipses ( (SIBER) Class 2: 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 Day 4: Advanced SIMMs Class 1: Using MixSIAR for complex data sets: time series and mixed effects models Class models Class 2: Source grouping: when and how? Class 3: Building your own SIMM with JAGS Practical: Running advanced SIMMs with JAGS Round table discussion: Bring your own data set Cost is £500 for the 4 days including lunches and refreshments or £645 for an all-in an all-inclusive option which includes the addition of accommodation, breakfast breakfast, lunch, dinner and refreshments. For further details or questions or to register please email oliverh [email protected] or visit www.prstatistics.co.uk Please feel free to distribute this material among colleagues if you think it is it is suitable Additional upcoming courses; GENETIC DATA ANALYSIS USING SIAR; ; APPLIED BAY BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS; SPATIAL ANALYSIS OF ECO ECOLOGICAL DATA USING R; ADVANCING IN R. PYTHON FOR BIOLOGISTS; INT INTRODUCTION TO STATISTICS AND R FOR BIOLOGISTS; DNA TAXONOMY; TIME SERIES ANA ANALYSIS FOR ECOLOGISTS AND CLIMATOLOGISTS; BIOINFORMATICS FOR GENETICISTS AND AND BIOLOGISTS; MULTIVARIATE ANALYSIS OF SPATIAL DATA; Oliver Hooker PR~Statistics
