Acquisition of Research Instrumentation for Web-based Visualization of Spatio-Temporal Data

该项目与伊利诺伊大学芝加哥分校合作，加强了数据库、数据传输和数据可视化，目标是开发技术，以解决空间、时间、移动物体和数据可视化领域的问题。研究结果将用于增强TerraFly，这是一个交互式网络系统，位于http://TerraFly.fiu.edu，旨在帮助空间和遥感图像的可视化。本研究在FIU的测试平台实时创建模拟的移动对象数据，并实时生成移动对象的叠加，供TerraFly客户端显示。TerraFly是FIU和USGS合作研究与开发协议的主题，目前收集了超过13tb的覆盖美国的航空摄影，并将其提供给用户。这种海量数据，结合点和多边形数据（由navigation Technologies提供给TerraFly研究）和从互联网资源中挖掘的移动数据，结合基础设施创建的额外模拟移动对象数据，有望实现空间索引技术的实际测试。研究内容包括：空间数据存储与可视化移动目标数据存储与可视化时空数据索引terrafly包括通过卫星、航空摄影等遥感手段采集的陆地、城市和沿海影像数据。第一项活动涉及增强功能，允许存储额外的元数据、查询、数据处理例程和算法，还允许实时合并存储在远程站点的数据。第二个包括处理数据更新间隔、查询语言（语言问题）、索引和不确定性/不精确性。第三个活动是研究使用s树进行空间搜索的新数据结构（多维搜索树针对极快的更新和查询进行了优化）。提出的S-Tree是一种混合数据结构，它使用哈希表和四叉树（一种多维二叉搜索树，在插入到树中的点处将空间划分为区域）的组合。研究结果将提供给灾害管理人员，从而使社会受益。此外，代表性不足的学生将获得研究工作的实践经验，从而使更多潜在的博士学生进入计算机科学/计算机科学的管道。

This project, enhancing database, data delivery, and data visualization in collaboration with the University of Illinois-Chicago, targets the development of technology to address problems in the areas of spatial, temporal, moving objects, and data visualization. Results from the research will be used to enhance TerraFly, an interactive Web-enabled system at http://TerraFly.fiu.edu designed to aid in the visualization of spatial and remote sensed imagery. This research testbed at FIU creates simulated moving object data in real-time and generates overlays of moving objects in real time for display by the TerraFly client. TerraFly, the subject of a cooperative Research and Development Agreement between FIU and USGS, presently takes more than 13 terabytes of aerial photography covering US and makes it available to its users. This mass data, combined with point and polygonal data (made available for TerraFly research by Navigational Technologies) and moving data mined from Internet sources, combined with additional simulated moving object data created by the infrastructure, is expected to allow performance of realistic tests of spatial indexing techniques. Research activities include: Storage and Visualization of Spatial Data Storage and Visualization of Moving Object Data Spatio-Temporal Data IndexingTerraFly includes land, urban, and coastal imagery data collected by satellites, aerial photography and other remote sensing means. The first activity involves enhancements allowing storage of additional metadata, queries, and data processing routines and algorithms, and also to allow on-the-fly incorporation of data stored at remote sites. The second includes handling data update intervals, query languages (linguistic issues), indexing, and uncertainty/imprecision. The third activity performs research toward a new data structure for spatial searching with S-trees (multidimensional search trees optimized for extremely fast updates and queries). The proposed S-Tree is a hybrid data structure that uses a combination of a hash table and a quadtree (a multidimensional binary search tree that divides the space into regions at the points being inserted in the tree).Results of the research will be made available to disaster managers and thus benefit society. Moreover, underrepresented students will be offered hand-on experience for research efforts, thus enabling more potential PhD students in the CS/CE pipeline.