Spatio-Temporal Methods in Environmental Epidemiology
Chapter 11 - The Interplay between space and time in
Exposure assessment
Summary
This chapter introduces the many ways in which the time can be added to space in order to characterise random exposure
fields. From this chapter, the reader will have gained an understanding of the following topics:
Additional power that can be gained in an epidemiological study by combining the
contrasts in the process over both
time and space while characterising the stochastic
dependencies across both space and time for inferential analysis.
Criteria that good approaches to spatio–temporal modelling should satisfy.
General strategies for developing such approaches.
Separability and non-separability in spatio–temporal models, and how these could be
characterised using the Kronecker
product of correlation matrices.
Examples of the use of spatio–temporal models in modelling environmental exposures.
Other
Supplementary Material
WinBUGS code from Supplementary Material