Multivariate methods for space-time environmental processes

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The overall objective is to develop multivariate methods for modelling environmental processes where available data include both monitoring measurements and output from deterministic (physical) models. Although data from both sources attempt to replicate reality, they have very different characteristics. The monitoring data attempt to replicate the micro environment whereas the physical model represents the macro environment (eg. MAQSIP: 6km x 6km grid cells). The environmental fields under consideration may include multiple pollutants (ie. Multivariate responses), and generally have both spatial and temporal correlation structures as well as being non-stationary and non-Gaussian. A variety of research problems will be studied to incorporate these features in the modelling of environmental space-time processes.