Integrated Analysis and Display of Multivariate and Time- Dependent Data

9215145 Hesselink实验和数值技术都变得更加复杂，导致描述复杂物理现象的非常大的多变量、依赖时间的数据集。目前，用于分析和显示这些数据集的可视化方法是不够的，尤其是在处理张量数据时。该项目通过研究一种基于特征提取、数据压缩和沉浸式环境三位一体的使能技术的集成方法，解决了更好地理解这些数据集的需要。增加复杂性的三维数据集：将显示和分析张量数据和与时间相关的场。大多数研究工作的目的是了解产生这些大型多变量数据集的物理系统的动力学属性。因此，为了可视化随时间变化的数据，必须扩展用于显示稳定场的技术。依赖于时间的数据可以通过各个时间步长的动画来处理。然而，动画的处理时间是出了名的长。因此，在集成可视化过程的几个阶段都在研究数据压缩。在分析组件中，张量场的数据压缩是基于张量场拓扑结构提取和显示超粒子路径。在显示组件中，可以使用诸如向量聚类和4-D变换的高级数据压缩技术来分析和显示依赖时间的场。最后，使用沉浸式环境中的工具、应用于渲染方法的数据压缩技术以及其他新技术来显示这些分析的结果。*v S t@j L WINMINE HLP@j J 1 WINTUTORDAT@j WRITE HLP@j k CALC EXE@j@CALC HLP@j F CALENDARHLP@j P Canyon MID@j奇茨BMP@jıM丁华@j N-9215145 Hesselink实验和数值技术都变得更加复杂，导致非常大的Multiv K7.$(F/K/1信使符号&amp；Arial 5 Courier New Z“h lc lc r(S R：\WW20USER\ABSTRACT.DOT摘要艾丽西亚·E·哈里斯艾丽西亚·E·哈里斯

9215145 Hesselink Both experimental and numerical techniques are becoming more sophisticated leading towards very large multivariate, time-dependent datasets describing complex physical phenomena. Visualization approaches for analysis and display of these datasets are currently inadequate, in particular when dealing with tensor data. The project addresses the need for better understanding of these datasets by investigating an integrated approach based on the triad of enabling technologies of feature extraction, data compression, and immersive environments. Three-dimensional datasets of increased complexity: tensor data and time-dependent fields will be displayed and analyzed. Most of the research effort is aimed at understanding the dynamical properties of physical systems that give rise to these large multivariate datasets. Therefore, techniques used for visualizing steady fields must be extended in order to visualize time-dependent data. Time-dependent data may be handled by animation of the individual time steps. Processing time for animations, however, are notoriously long. Therefore, data compression is being investigated at several stages of the integrated visualization process. In the analysis component, data compression of tensor fields is based on extracting and displaying hyperparticle paths using tensor field topology. In the display component, time-dependent fields may be analyzed and displayed using advanced data compression techniques such as vector clustering and 4-D transforms. Finally, the results of these analysis are displayed with tools from immersive environments, data compression techniques applied to rendering approaches, and other new technologies. *** v s t @ j l WINMINE HLP @ j J 1 WINTUTORDAT @ j j WRITE HLP @ j k CALC EXE @ j @ CALC HLP @ j F CALENDARHLP @ j P CANYON MID @ j CHITZ BMP @ j ı M DING WAV @ j N- 9215145 Hesselink Both experimental and numerical techniques are becoming more sophisticated leading towards very large multiv K 7 $ $ $ ( F / K / 1 Courier Symbol & Arial 5 Courier New Z " h lc lc r ( S R:\WW20USER\ABSTRACT.DOT abstract Alicia E. Harris Alicia E. Harris