D-STEM: A Software for the Analysis and Mapping of Environmental Space-Time Variables
D-STEM: A Software for the Analysis and Mapping of Environmental Space-Time Variables
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D-STEM：环境时空变量分析和绘图软件
DOI：
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发表时间：
2014
期刊：
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通讯作者：
A. Fassò
中科院分区：
文献类型：
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作者：
F. Finazzi;A. Fassò
本文讨论了软件D-STEM作为环境时空变量的分析和映射的统计工具。该软件基于灵活的分层时空模型，能够处理多变量、异构空间支持、异构采样网络和缺失数据。模型估计基于期望最大化算法，并且可以使用分布式计算环境来执行，以在处理大型数据集时减少计算时间。估计的模型最终用于在感兴趣的地理区域上动态地映射变量。增加复杂性的三个例子说明了D-STEM的使用和功能，无论是在建模和实现方面，从一个单变量模型开始，并达到一个多变量数据融合与锥形。
This paper discusses the software D-STEM as a statistical tool for the analysis and mapping of environmental space-time variables. The software is based on a flexible hierarchical space-time model which is able to deal with multiple variables, heterogeneous spatial supports, heterogeneous sampling networks and missing data. Model estimation is based on the expectation maximization algorithm and it can be performed using a distributed computing environment to reduce computing time when dealing with large data sets. The estimated model is eventually used to dynamically map the variables over the geographic region of interest. Three examples of increasing complexity illustrate usage and capabilities of D-STEM, both in terms of modeling and implementation, starting from a univariate model and arriving at a multivariate data fusion with tapering.