an effective algorithm for spatial query using spatial adaptive grid index filter
文献类型：会议论文
| 作者 | Lu Hao ; Zhong Ershun ; Shu Xieliu ; Wang Tianbao ; Wang Shaohua |
| 出版日期 | 2011 |
| 会议名称 | 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
| 会议日期 | June 24, 2011 - June 26, 2011 |
| 会议地点 | Shanghai, China |
| 关键词 | Algorithms Efficiency Geographic information systems |
| 页码 | - |
| 中文摘要 | Spatial query is the core function of GIS analysis, the query data is mostly geometric point, line, polygon which has the location information and formatted query condition is a variety of spatial relationships. We focus on the spatial query efficiency improvement with the query data in case of large and complex, and propos an effective spatial adaptive grid index filter algorithm for spatial query. It is different from the commonly used uniform grid index algorithm as it constructs the adaptive grid index of data using the spatial distribution information then it can radically improve the efficiency of spatial query. This algorithm contains four steps, including boundary grid index construction, internal grid index construction, primary spatial query and advanced spatial query. It is realized by C++ language and verified by experiments, the spatial query efficiency than the traditional uniform grid index algorithm has significantly increased. © 2011 IEEE. |
| 英文摘要 | Spatial query is the core function of GIS analysis, the query data is mostly geometric point, line, polygon which has the location information and formatted query condition is a variety of spatial relationships. We focus on the spatial query efficiency improvement with the query data in case of large and complex, and propos an effective spatial adaptive grid index filter algorithm for spatial query. It is different from the commonly used uniform grid index algorithm as it constructs the adaptive grid index of data using the spatial distribution information then it can radically improve the efficiency of spatial query. This algorithm contains four steps, including boundary grid index construction, internal grid index construction, primary spatial query and advanced spatial query. It is realized by C++ language and verified by experiments, the spatial query efficiency than the traditional uniform grid index algorithm has significantly increased. © 2011 IEEE. |
| 收录类别 | EI |
| 会议主办者 | IEEE Geoscience and Remote Sensing Society (IEEE GRSS); East China Norm. Univ., Sch. Resour. Environ. Sci.; Shanghai Urban Dev. Inf. Res. Cent.; The Geographical Society of Shanghai; East China Univ. Sci. Technol., Bus. Sch. |
| 会议录 | Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011
 |
| 语种 | 英语 |
| ISBN号 | 9781612848488 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16310]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Lu Hao,Zhong Ershun,Shu Xieliu,et al. an effective algorithm for spatial query using spatial adaptive grid index filter[C]. 见:2011 19th International Conference on Geoinformatics, Geoinformatics 2011. Shanghai, China. June 24, 2011 - June 26, 2011. |
入库方式： OAI收割
来源：软件研究所
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