Discovering Spatiotemporal Topological Relationships
Discovering Spatiotemporal Topological Relationships
复制标题
发现时空拓扑关系
DOI：
10.1007/978-3-642-22555-0_52
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
K. Rao
中科院分区：
文献类型：
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作者：
K. Rao;A. Govardhan;K. Rao
时空拓扑关系发现是指从时空数据库中发现时空对象之间的不相交、覆盖、相交、重叠等几何关系以及这些关系随时间的变化。时空数据库处理空间对象随时间的变化。该领域的应用程序处理空间、时间和属性数据元素，以发现空间对象的演化及其拓扑关系随时间的变化。这些先进的数据库应用需要存储、管理和处理复杂的时空数据。本文讨论了时空数据库的设计和发现各种时空拓扑关系的方法。该系统的原型实现是在开源的对象关系型空间数据库管理系统postgresql和postgis上进行的。该算法的实验上使用OpenJump创建的历史地籍数据集。使用OpenJump软件可视化的结果。
Discovering spatiotemporal topological relationships deals with the discovery of geometric relationships like disjoint, cover, intersection and overlap between every pair of spatiotemporal objects and change of such relationships with time from spatiotemporal databases. Spatiotemporal databases deal with changes to spatial objects with time. The applications in this domain process spatial, temporal and attribute data elements to find the evolution of spatial objects and changes in their topological relationships with time. These advanced database applications require storing, management and processing of complex spatiotemporal data. In this paper we discuss the design of spatiotemporal database and methodology for discovering various kinds of spatiotemporal topological relationships. Prototype implementation of the system is carried out on top of open source object relational spatial database management system called postgresql and postgis. The algorithms are experimented on historical cadastral datasets that are created using OpenJump. The results that are visualized using OpenJump software are presented.