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A comparison between hierarchical spatio-temporal models in presence of spatial homogeneous groups: the case of Ozone in the Emilia-Romagna Region

机译:存在空间同质群体的分层时空模型之间的比较:以艾米利亚—罗马涅地区的臭氧为例

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摘要

Hierarchical spatio-temporal models permit to estimate many sources of variability. In many environmental problems, different features characterizing spatial locations can be found. Differences in these classifications can show discrepancies either in mean levels or in the spatio-temporal dependence structure. When these characteristics are not included in the model structure, model performances and spatial predictions may lead to poor results. Here, we compare alternative enrichments of the hierarchical spatio-temporal model that consider the presence of groups. Our application concerns Ozone data in the Emilia-Romagna region in which the monitoring sites can be classified according to their relative position with respect to traffic emissions.
机译:分层的时空模型允许估计许多可变性来源。在许多环境问题中,可以找到表征空间位置的不同特征。这些分类的差异可能显示均值水平或时空依赖性结构上的差异。当这些特征未包括在模型结构中时,模型性能和空间预测可能会导致不良结果。在这里,我们比较考虑了群体存在的分层时空模型的替代性充实。我们的应用程序涉及Emilia-Romagna地区的臭氧数据,在该数据中可以根据监视站点相对于交通排放的相对位置对其进行分类。

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