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| 网络中移动对象的二维时空索引 | |
| 引用本文： | 陈碧宇,陈晓玲,陈慧萍,吴玮.网络中移动对象的二维时空索引[J].武汉大学学报(信息科学版),2007,32(10):919-923. |
| 作者姓名： | 陈碧宇 陈晓玲 陈慧萍 吴玮 |
| 作者单位： | 1. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 2. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079;江西师范大学鄱阳湖生态环境与资源研究教育部重点实验室,南昌市紫阳大道99号,30022 3. 民政部国家减灾中心,北京市宣武区白广路7号中民大厦1410室,100053 |
| 基金项目： | 国家重点基础研究发展计划(973计划);国家教育部长江学者和创新团队发展计划 |
| 摘 要： | 基于2DSTMON(2-Dimensional spatio-temporal indexfor moving objects in network)二维时空数据模型,提出了一种新的二维网络中移动对象的时空索引2DSTI及其时空查询算法。这种二维时空索引机制简单且易于实现,支持当前轨迹数据和历史轨迹数据的大量时空查询操作。在此基础上,通过实验实现并验证了二维时空索引机制及其时空查询算法。 |
| 关 键 词： | 移动对象 网络 时空索引 时空查询 |
| 文章编号： | 1671-8860（2007）10-0919-05 |
| 修稿时间： | 2007-07-18 |
Indexing and Querying Moving Objects in Network |
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| CHEN Biyu,CHEN Xiaoling,CHEN Huiping,WU Wei.Indexing and Querying Moving Objects in Network[J].Geomatics and Information Science of Wuhan University,2007,32(10):919-923. | |
| Authors: | CHEN Biyu CHEN Xiaoling CHEN Huiping WU Wei |
| Institution: | 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China; 2. The Key Laboratory of Poyang Lake Ecological Environment and Resource Development, Jiangxi Normal University, 99 Ziyang Road, Nanchang 330022, China; 3. National Disaster Reduction Center of China, 7 Baiguang Road, Beijing 100053, China |
| Abstract: | Recently, the study of moving objects has become an importance research issue in such areas as temporal GIS and spatiotemporal database. However, due to their special spatiotemporal conditions, trajectories are different from existing GIS data, and there is still a lack of efficient data-model and index methods to support storage and queries about trajectories. In view of this, a new spatiotemporal Index, named 2-dimensional spatio-temporal index for moving objects in network (2DSTI), and a set of spatiotemporal query algorithms were proposed. The 2DSTI was easy to implement and maintain; moreover it could support many query types on pass and current. Finally, 2DSTI and its spatiotemporal queries were implemented and validated through a series of experiments. |
| Keywords: | moving objects network spatiotemporal index spatiotemporal query |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |