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Performance Tests and Application Strategies of Spatial Indexes in the Embedded-GIS Data Management

机译:嵌入式GIS数据管理中空间索引的性能测试与应用策略

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Spatial indexes arranged by some sequence, are related to the positions, shapes of geographic entities and relations among them, which describe the outline info of Object Identifier (OID), Minimum Bounding Rectangle (MBR) and pointers to storage location. Usually, the index situated between the spatial operating algorithms and the entities, enhances the efficiency of spatial operations by filtering and erasing irrelevant ones. Especially, for resource-constrained mobile terminals with Embedded-GIS, it's necessary to establish proper index strategies to solve the problem of limited memories conflicting with enormous data and the requirement of real-time processing. The paper not only stated the design and realization of the Seq-list, KD-tree, Quad-tree and R-tree indexes carried on Embedded-GIS, but also applied these to Compaq iPAQ H3800 conducting massive careful tests. Based on analyzing and contrasting test results of memories occupied, time spent and power consumed, the paper appraised the validity of above indexes and proposed corresponding strategies for different Embedded-GIS application environments.
机译:由某种序列排列的空间索引与它们之间的位置,形状,描述对象标识符(OID),最小边界矩形(MBR)和指向存储位置的指针的概要信息。通常,位于空间操作算法和实体之间的索引,通过过滤和擦除无关率来增强空间操作的效率。特别是,对于具有嵌入式GIS的资源受限的移动终端,有必要建立适当的指标策略,以解决与巨大数据相互冲突的有限记忆的问题以及实时处理的要求。本文不仅指出了在嵌入式GIS上携带的SEQ列表,KD树,Quad-Trees和R树索引的设计和实现,而且还将这些产品应用于Compaq IPAQ H3800进行了大规模的仔细测试。基于分析和对比的记忆占据的测试结果,花费和消耗的时间,纸张评估了上述索引的有效性,并提出了不同嵌入式GIS应用环境的相应策略。

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