We present amethodology that has proven useful in surmounting technical obstacles encountered while producing mobile-enabled, remote visual data exploration and analysis capabilities. Our results focus on a environmental remediation case study. Using a desktop or mobile device, a scientist is able to perform subset selection of a large collection of time-varying observational, well-log data, then to view this data in 3D from arbitrary orientations, and to view output from visualizations of a time-varying 3D fluid flow simulation showing the spread of analytes over time through the same spatial region as the observational data. This infrastructure is capable of delivering imagery to handheld devices at (modestly) interactive rates, supports a variety of different types of mobile devices, and is useful to scientists whomay need to access this kind of capability from field locations.
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机译:我们提出了一种方法,该方法已被证明有助于克服在产生支持移动的远程可视化数据探索和分析功能时遇到的技术障碍。我们的研究结果集中在环境修复案例研究上。使用台式机或移动设备,科学家能够对大量随时间变化的观测井测井数据进行子集选择,然后从任意方向以 3D 形式查看这些数据,并查看时变 3D 流体流动模拟可视化的输出,显示分析物随时间推移在与观测数据相同的空间区域中的扩散。该基础设施能够以(适度)交互速率将图像传送到手持设备,支持各种不同类型的移动设备,并且对于可能需要从现场位置访问此类功能的科学家很有用。
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