'Time series models for Ecologists (TSME01)' This course will run from 26th - 30th June 2017 at Northwest Atlantic Fisheries Centre, St. John?s , Canada. This course wil be delivered by Dr. Andrew Parnell Course Overview: This course will cover time series analysis with a particular focus on applications in ecology. All methods will be illustrated using the free, open-source software package R. Time Series data are ubiquitous in the physical sciences, and models for their behaviour enable scientists to understand temporal dynamics and predict future values. Participants will be taught a wide range of suitable time series models for both discrete and continuous time systems. The course will cover a range of techniques from simple exponential smoothing and ARIMA modelling approaches up to complex Bayesian models. Participants will gain a deeper understanding of the models being fitted, and be able interpret the results appropriately. Participants are encouraged to bring their own data sets for discussion with the course tutors. Day 1 Class 1: Introduction, example data sets Class 2: Revision: likelihood and inference Class 3: Revision: linear regression, GLMs, and exponential smoothing Tutor-guided practical: Linear regression GLMs and exponential smoothing for time series Self-guided practical: Analysing some example data sets Day 2 Class 1: Auto-regressive models and random walks Class 2: Moving averages and ARMA Class 3: Integrated models and ARIMA Tutor-guided practical: The forecast package in R Self-guided practical: Fitting ARIMA models with forecast Day 3 Class 1: Including covariates: ARIMAX models Class 2: Model choice and forecasting Class 3: Creating bespoke time series models using Bayes Tutor-guided practical: A walkthrough example time series analysis Self-guided practical: Finding the best time series model for your data set Day 4 Class 1: Modelling with seasonality and the frequency domain Class 2: Stochastic volatility models and heteroskedasticity Class 3: Fitting Bayesian time series models Tutor-guided practical: Fitting time series models in Stan Self-guided practical: Start analysing your own data set Day 5 Class 1: Models for continuous time series: Brownian Motion and Ornstien Uhlenbeck processes Class 2: State-space and change point models Class 3: Multivariate time series models and co-integration Open session: analyse your own data Please email any inquiries to oliverhooker at prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Our other courses 1. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE 19th ? 23rd June, Canada, Prof. Subhash Lele, Dr. Peter Solymos http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/ 2. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME 26th ? 30th June, Canada, Dr. Andrew Parnell http://www.prstatistics.com/course/time-series-models-foe-ecologists-tsme01/ 3. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR01 24th ? 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena Kulinskaya http://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr01/ 4. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #SPAE 7th ? 12th August 2017, Scotland, Prof. Jason Matthiopoulos, Dr. James Grecian http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae05/ 5. ECOLOGICAL NICHE MODELLING USING R #ENMR 16th ? 20th October 2017, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/ 6. GENETIC DATA ANALYSIS AND EXPLORATION USING R #GDAR 23rd ? 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar http://www.prstatistics.com/course/genetic-data-analysis-exploration-using-r-gdar03/ 7. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR 23rd ? 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck http://www.prstatistics.com/course/structural-equation-modelling-for-ecologists-and-evolutionary-biologists-semr01/ 8. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG 6th ? 10th November, Wales, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg02/ 9. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME 20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt Denwood http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/ 10. INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS #IRMS 27th Nov ? 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis-for-ecological-applications-irms01/ 11. ADVANCING IN STATISTICAL MODELLING USING R #ADVR 11th ? 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/ 12. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan ? 2nd Feb 2018, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/ 13. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME 19th ? 23rd February 2018, Wales, Dr Luca Borger, Dr. John Fieberg 14. GEOMETRIC MORPHOMETRICS USING R #GMMR 5th ? 9th June 2017, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/ 15. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER 5th ? 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars G?tzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer01/ 16. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP Prof. Pierre Legendre, Dr. Olivier Gauthier - Date and location to be confirmed 17. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM Dr. Andrew Parnell, Dr. Andrew Jackson ? Date and location to be confirmed 18. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA Dr. Marco Scotti - Date and location to be confirmed 19. MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R #MBMV0 Prof David Warton - Date and location to be confirmed 20. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL Dr. Emmanuel Paradis ? Date and location to be confirmed Oliver Hooker PhD. PR statistics 2017 publications - Ecosystem size predicts eco-morphological variability in post-glacial diversification. Ecology and Evolution. In press. The physiological costs of prey switching reinforce foraging specialization. Journal of animal ecology. prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 3/1, 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340
Course on time series analysis for ecologists
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