Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM05)
This course will be delivered by Dr Andrew Parnell and Dr Andrew Jackson (authors of the SIBER, SIAR and MixSIAR packages) form the 10th - 14th June 2019 in Glasgow City Centre.
Course overview: 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 and will suit anyone using stable isotopes to study seabirds. 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.
Monday 10th – Classes from 09:30 to 17:30 Basic concepts. 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 11th – Classes from 09:30 to 17:30 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 12th – Classes from 09:30 to 17:30 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 13th – Classes from 09:30 to 17:30 Advanced SIMMs. 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.
Friday 14th – Classes from 09:30 to 16:00 Bring your own data set.
Please email firstname.lastname@example.org with any questions.
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition)
June 10th – 14th 2019 STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04) Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/
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June 17th – 21st 2019 ADVANCED PYTHON FOR BIOLOGISTS (APYB03) Glasgow, Scotland, Dr. Martin Jones www.prinformatics.com/course/advanced-python-biologists-apyb03/
June 24th – 28th 2019 MICROBIOME DATA ANALYSIS USING QIIME2 (MBQM01) Glasgow, Scotland, Dr. Yoshiki Vazquez Baeza, Dr. Antonio Gonzalez Pena https://www.prinformatics.com/course/microbiome-data-analysis-using-qiime2-mbqm01/
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September 23rd – 27th 2019 NONLINEAR REGRESSION AND GENERAL ADDITIVE MODELS (GAM’S) (NRGM01) Glasgow, Scotland, Dr. Mark Andrews https://www.psstatistics.com/course/nonlinear-regression-and-general-additive-models-gams-nrgm01/
September 30th – October 4th 2019 GEOMETRIC MORPHOMETRICS USING R (GMMR02) Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/
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October 14th – 18th 2019 INTRODUCTION TO BEHAVIOURAL DATA ANALYSIS USINR R (IBDA01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/
November 4th – 8th 2019 Glasgow, Scotland, Dr. Mark Andrews INTRODUCTION TO BAYESIAN DATA ANALYSIS FOR SOCIAL AND BEHAVIOURAL SCIENCES USING R AND STAN (BDRS02) https://www.psstatistics.com/course/introduction-to-bayesian-data-analysis-for-social-and-behavioural-sciences-using-r-and-stan-bdrs02/
November 4th – 8th 2019 BEHAVIOURAL DATA ANALYSIS USING MAXIMUM LIKELIHOOD (BDML01) Glasgow, Scotland, Dr Will Hoppitt https://www.psstatistics.com/course/behavioural-data-analysis-using-maximum-likelihood-bdml02/
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November 18th – 22nd 2019 INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/
November 25th – 29th 2019 ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01) Athens, GREECE, Dr Cory Merow https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/