Multivariate methods for space-time environmental processes

总体目标是发展多变量环境过程建模方法，其中现有数据包括监测测量和确定性（物理）模型的输出。尽管两种来源的数据都试图复制现实，但它们具有非常不同的特征。监测数据试图复制微观环境，而物理模型则代表宏观环境。MAQSIP: 6公里× 6公里网格单元)。所考虑的环境领域可能包括多种污染物(例如：多元响应)，通常具有空间和时间相关结构，并且是非平稳和非高斯的。将研究各种各样的研究问题，以将这些特征纳入环境时空过程的建模中。

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.