Ecological Time Series Analysis and Forecasting in R

Time series analysis and forecasting are standard goals in applied ecology. In this course, you will learn how to wrangle, visualise and explore ecological time series. You will also learn to use the `mvgam` package to analyse a diversity of ecological time series to gain useful insights and produce accurate forecasts. This workshop will cover time series and time series visualization, Generalised Linear Models (GLMs) and hierarchial models (GLMMs), Generalized Additive Models (GAMs) for nonlinear effects and complex random effects, dynamic GLMs and dynamic GAMs, multivariate modeling strategies, and forecasting and forecast evaluation. This workshop is aimed at higher degree and early career ecologists who are interested in making better predictions with their statistical models. The strategies to be covered are extendable well beyond time series and participants will leave this workshop with a better understanding of strategies to capture the types of complex, nonlinear effects that dominate ecological data.

December 13, 2024

9:30 AM – 12:30 PM

Melbourne, Australia