Short Course on Spatiotemporal Modelling and Data Analysis
Macquarie University, Sydney, New South Wales, Australia, July 2008
This workshop is sponsored by CSIRO and the Harvard Club of Australia
Instructor: Sudipto Banerjee (University of Minnesota)
In recent years there has been enormous growth in interest in the analysis of spatial data, and the development of statistical methodologies that interact with geographical information systems (GISs). This course is about spatial data, spatial statistical models, and their proper fitting, summary, and interpretation. It is designed to introduce students to the nature of spatial data and the special analysis tools that help analyze such data. The course covers a blend of theory, applications, and software.
The following are useful text books for spatial statistics and hierarchical models:
Banerjee, S., Carlin, B.P. and Gelfand, A.E. (2004). Hierarchical Modeling and Analysis for Spatial Data. Publisher: CRC/Chapman and Hall.
Carlin, B.P. and Louis, T.A. (2000).Bayes and Empirical Bayes Methods for Data Analysis. Second Edition. Publisher: CRC/Chapman and Hall.
Dalgaard, P. (2002). Introductory Statistics with R.
Diggle, P.J. and Ribeiro Jr., P.J. (2007). Model-based Geostatistics. Publisher: Springer.
Faraway, J.J. (2005). Linear Models with R. Publisher: CRC/Chapman and Hall.
Gelman, A., Carlin, J.B., Stern, H.S. and Rubin, D.B. (2004). Bayesian Data Analysis. Second Edition. Publisher: CRC/Chapman and Hall.
Lee, P. M. (2004). Bayesian Statistics Publisher: Hodder Arnold
Venables, W.N., Smith, D.M. and the R Development Core Team (2002). An Introduction to R: Revised and Updated.
Waller, L. and Gotway, C. (2004). Applied Spatial Statistics for Public Health Data. Publishers: John Wiley and Sons.
Some notes on the basic principles of Bayesian inference and the Bayesian linear regression model.
The web sites for the two softwares we will use:
WinBUGS or OpenBUGS
You can download the new registration key for WinBUGS from HERE. NOTE THAT YOU DO NOT REQUIRE ANY REGISTRATION KEY FOR OPENBUGS.
R
Monday, July 28th
9:30am - 10:30am: Introduction to Spatial Data and Models
10:30am - 11:20am: Hierarchical models for point-referenced data
11:20am - 11:30am: BREAK
11:30am - 12:30pm: Hierarchical models for point-referenced data - applications and extensions
12:30pm - 1:30pm LUNCH
1:30pm - 2:30pm: Computing demonstrations
2:30pm - 3:30pm: Modelling LARGE spatial datasets
3:30pm - 3:50pm BREAK
3:50pm - 5:25pm: Spatiotemporal modelling
5:25pm - 5:35pm BREAK
5:35pm - 6:30pm: Computing demonstrations
Tuesday, July 29th
8:30am - 9:30am: Areally Referenced Lattice Data
9:30am - 10:30am: Areal models with random neighbourhoods
10:30am - 11:00am: TEA BREAK
11:00am - 11:50am: Group Discussions
Group A: Health applications - discuss need for spatio-temporal models - gaps in available technology
Group B: Environmental and other applications - need for spatio-temporal models - gaps
11:50am - 12:30pm: Discussions (contd.)
Louise Ryan and Sudipto Banerjee will report back on user needs and outline future potential research areas
12:30pm - 1:15pm: LUNCH
1:15pm - 2:00pm: Presentation
John Parslow (CSIRO, Marine Research)
2:00pm - 2:45pm: Presentation
Ross Sparks (CSIRO, Estimation of degradation in Sewerage Pipes).
2:45pm - 3:00pm: BREAK
3:00pm - 4:00pm: Computing demonstrations