Peking University.
IEEE Trans Vis Comput Graph. 2010 Nov-Dec;16(6):1413-20. doi: 10.1109/TVCG.2010.192.
Over the past few years, large human populations around the world have been affected by an increase in significant seismic activities. For both conducting basic scientific research and for setting critical government policies, it is crucial to be able to explore and understand seismic and geographical information obtained through all scientific instruments. In this work, we present a visual analytics system that enables explorative visualization of seismic data together with satellite-based observational data, and introduce a suite of visual analytical tools. Seismic and satellite data are integrated temporally and spatially. Users can select temporal ;and spatial ranges to zoom in on specific seismic events, as well as to inspect changes both during and after the events. Tools for designing high dimensional transfer functions have been developed to enable efficient and intuitive comprehension of the multi-modal data. Spread-sheet style comparisons are used for data drill-down as well as presentation. Comparisons between distinct seismic events are also provided for characterizing event-wise differences. Our system has been designed for scalability in terms of data size, complexity (i.e. number of modalities), and varying form factors of display environments.
在过去的几年中，世界各地的大量人口受到地震活动显著增加的影响。无论是进行基础科学研究还是制定关键的政府政策，能够探索和理解通过所有科学仪器获得的地震和地理信息都至关重要。在这项工作中，我们提出了一个可视化分析系统，该系统支持地震数据与基于卫星的观测数据的探索性可视化，并引入了一套可视化分析工具。地震和卫星数据在时间和空间上是集成的。用户可以选择时间和空间范围，以便在特定地震事件上进行缩放，还可以检查事件期间和之后的变化。还开发了用于设计高维传输功能的工具，以实现对多模态数据的高效和直观理解。电子表格样式的比较用于数据细化和演示。还提供了不同地震事件之间的比较，以便对事件级别的差异进行特征描述。我们的系统在数据大小、复杂性（即模态数量）以及显示环境的不同形式因素方面都具有可扩展性。
