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| an effective algorithm for spatial query using spatial adaptive grid index filter | |
| Lu Hao; Zhong Ershun; Shu Xieliu; Wang Tianbao; Wang Shaohua | |
| 2011 | |
| 会议名称 | 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
| 会议录名称 | Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
| 页码 | - |
| 会议日期 | June 24, 2011 - June 26, 2011 |
| 会议地点 | Shanghai, China |
| 收录类别 | EI |
| ISBN | 9781612848488 |
| 部门归属 | (1) State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research CAS Beijing China; (2) Graduate University Chinese Academy of Sciences Beijing China; (3) SuperMap Software Co. Ltd. Beijing China |
| 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.; 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. |
| 关键词 | Algorithms Efficiency Geographic Information Systems |
| 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. |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| URI标识 | http://ir.iscas.ac.cn/handle/311060/16310 |
| 专题 | 中国科学院软件研究所 |
| 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],2011:-. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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