地理空间环境下时空数据的逻辑索引高效查询处理

Papiya Bala, S. Hemamalini
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引用次数: 1

摘要

在网络创新和传感器创新突飞猛进的今天,世界范围内的空间信息以其庞大的体量和多尺度的特征,对信息关联提出了更高的要求。空间网络在许多旅游指南中得到了广泛的应用。在任何情况下,当空间条目具有多尺度时,具有比例网络的空间矩阵列表因其低效率而受到批评。为了解决这个问题,本文提出了一种基于GeoSOT细分格的智能列表。通过这个列表的方法,我们可以有效地完成问题任务,而不需要注意空间条目的大小。
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Efficient Query Processing With Logical Indexing For Spatial and Temporal Data in Geospatial Environment
Presently a days remarkable improvement of the web innovation and sensor innovation, the worldwide spatial information, alongside its huge volume and multi-scale highlights, clarifies higher prerequisites for information association. The spatial network has been generally utilized in many guide list. In any case, when spatial articles have multi-scale, the spatial matrix list with proportionate networks has been critized for its low-efficiencies. To tackle this issue, here proposed an intelligent list just as upset record dependent on GeoSOT subdivision lattices. By methods for this list, we can accomplish question task productively paying little heed to the sizes of spatial articles.
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