Location: QUT Kelvin Grove, KG-B301, Brisbane
Instructor: Dr Andrew Zammit Mangion, NIASRA, University of Wollongong
Dates: April 18 & 19, 2018
This two-day workshop considers a systematic approach to key quantitative techniques for the analysis of spatio-temporal data, with a particular emphasis on hierarchical (empirical and Bayesian) statistical modelling. The workshop will cover the following topics in spatio-temporal modelling
Key concepts of hierarchical modelling; overview of requisite background in spatial statistics.
Data wrangling with spatio-temporal data.
Spatio-temporal data classes in R.
Visualisation of spatio-temporal data using lattices and grammar of graphics.
Exploratory techniques for spatio-temporal data (including visualisation and empirical dimension-reduction).
Standard statistical models for spatio-temporal data.
Covariance functions and spatio-temporal kriging in practice.
Rank-reduced spatio-temporal modelling approaches.
Non-Gaussian spatio-temporal modelling.
Dynamic spatio-temporal modelling.
A sizeable portion of the workshop is hands-on. Please see the programme attached for additional details.