Workshop 1: Spatio-Temporal Statistics with R


Distinguished Professor Christopher K. Wikle, University of Missouri

Dr Petra Kuhnert, CSRIO Canberra

Date: Saturday 25th November & Sunday 26th November

Workshop Outline:

The workshop gives a contemporary presentation of spatio-temporal processes and data analysis, bridging classic ideas with modern hierarchical statistical modeling concepts. From understanding environmental and ecological processes to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. This course presents a systematic approach to key quantitative techniques for the statistical analysis of such data that features visualization and exploration, covariance-based and random effects models, and dynamic spatio-temporal models.   Many examples will be included, along with some basic applications from various R packages.

Recommendations and Prerequisites:

The workshop assumes that participants have an understanding of regression from the matrix algebra perspective, mixed models, and the notion of likelihoods.

Workshop 2: Methodological aspects of the use of geospatial technology for agriculture and agri-environmental statistics

Presenter: Professor Elisabetta Carfagna, University of Bologna

Date: Sunday 26th November

Further details TBA

Workshop 3: Exploring data and models visually

Presenter: Professor Di Cook, Monash University

Date: Sunday 26th November

Workshop Outline:

  1. Motivation, why and how to organise data and getting started with R:
    • Participants get started with R, learn how to organise a work project and use knitr to incorporate code into documentation to produce pdf, html or Word documents.
    • Concepts of tidy data and learning to rearrange data will be covered.
  2. Making basic plots, grammar of graphics, good practices:
    • Mapping data to graphical elements in plots using ggplot2.
    • Generating simple plots, scatterplots, bar charts, time series, profiles, boxplots.
    • Using cognitive principles to improve plots.
  3. Advanced graphics, layering, maps, interactivity:
    • Layering different data sets, drawing maps, exploring model fits, multivariate plots.
    • Simple interactive graphics.

Recommendations and Prerequisites:

Participants should have a beginner’s knowledge of R. Two optional readings before the workshop are: