Multivariate methods for space-time environmental processes

总体目标是开发用于模拟环境过程的多变量方法，其中可用数据既包括监测测量，也包括确定性(物理)模型的输出。尽管这两个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，而物理模型表示宏观环境(例如，MAQSIP：6千米x 6千米网格单元)。正在考虑的环境领域可能包括多种污染物(即，多变量响应)，并且通常具有空间和时间相关结构以及非平稳和非高斯。将研究各种研究问题，以便将这些特征纳入环境时空过程的建模。

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.