| 矢量数据多尺度空间索引方法的研究 |
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| 引用本文： | 程昌秀. 矢量数据多尺度空间索引方法的研究[J]. 武汉大学学报 ( 信息科学版), 2009, 34(5): 597-601. |
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| 作者姓名： | 程昌秀 |
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| 作者单位： | 1中国科学院地理科学与资源研究所,北京市大屯路甲11号100101 |
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| 基金项目： | 国家863计划资助项目(2007AA120401,2006AA120106)；国家自然科学基金资助项目(40401047) |
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| 摘 要： | 阐述了近年来国内外出现的Reactive Tree、GAP-tree、Multi-Scale Hilbert R-tree、Multiple R-tree等6种矢量数据多尺度空间索引方法,对它们的优缺点作了较为详细的评述,为索引方法的选择和应用提供了一定的理论依据。最后,给出了对后续研究有指导性的结论,提出了高维索引、优化索引等多尺度空间索引方法未来的研究方向。
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| 关 键 词： | 矢量数据 多尺度 空间索引 |
| 收稿时间： | 2013-07-09 |
| 修稿时间： | 2013-07-09 |
A Multi-scale Spatial Index Method |
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| CHENG Changxiu. A Multi-scale Spatial Index Method[J]. Geomatics and Information Science of Wuhan University, 2009, 34(5): 597-601. |
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| Authors: | CHENG Changxiu |
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| Affiliation: | 1Institute of Geographical Sciences and Natural Resources Research,CAS,11A Datun Road,Beijing 100101,China |
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| Abstract: | The problem about multi-representations of spatial data is one of the hot topics in modern GIS.We pointed out that all kinds of published solutions could be concluded as three kinds of type techniques: explicit storage of multi-scale vector data,multi-scale spatial index,multi-scale vector data storage structure.Because there is more fertile soil to seed multi-scale spatial index method,we expatiated six kinds of multi-scale spatial index method,such as Reactive Tree,GAP-tree,Multi-Scale Hilbert R-tree,Multiple R-tree,and followed their development in recent years.According to our research experiments,we discussed their advantages and disadvantages,and provided some academic bases for their chosen and applications.Finally,we drawn some conclusions to guide the research on multi-scale spatial methods,and proposed the further research on multi-dimension index and optimized index. |
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| Keywords: | vector data multi-scale spatial index |
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