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基于图形的GIS数据表示

Research on representation for graph-based GIS data
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摘要 探讨了GIS空间数据的知识表示结构,使用四元组和九元组模型来进行各类型的空间属性关系描述.在此基础上,提出一种空间数据、非空间数据及空间关系(拓扑、距离、方向关系)的统一化图形表示模型.图形模型丰富了现有的数据挖掘处理技术,简化了数据收集与数据挖掘的过程,同时强化了空间特征固有的内在联系,提供了更丰富的数据分析能力. This paper presents a knowledge representation for GIS spatial data, describes all kinds of spatial relations between spatial objects using 4-tuples models and 9-tuples models. Proposes a uniform graph-base model for representation to spatial and non-spatial data and also including spatial relations (topological, orientation and distance). The model makes data mining technology plentiful, simplifies process of data acquiring and data mining, it also strengthens the relations between spatial objects and ability of data analysis.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2006年第3期64-67,共4页 Journal of Dalian Maritime University
关键词 地理信息系统 图形化表示 数据挖掘 空间关系 geographic information system graph-based data-mining spatial relations
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参考文献5

  • 1JIAWEI Han,BENG Chin Ooi.Discovery of general knowledge in large spatial databases Singapore[C]// Proceedings of Far East Workshop on Geographic Information System,1993.
  • 2JIAWEI Han,YANDONG Cai,NICK Cercone.Knowledge discovery in databases:an attribute-oriented approach british[C]// Columbia:Proceedings of the 18 International Conference on Very Large Databases,1992.
  • 3RAYMOND N T,HAN Jiawei.Efficient and effective clustering methods for spatial data mining[C]// Santiago:Proceedings of the 20th Very Large Databases Conference,1994.
  • 4KOPERSKI K,HAN Jiawei Han.Discovery of spatial association rules in geographic information databases[C]// Berlin:Proceedings of the 4th International Symposium on Spatial Databases,1995.
  • 5ESTER M,ALEXANDER F,HANS P K,et al.Spatial data mining:database primitives,algorithms and efficient DBMS support[C].Data Mining and Knowledge Discovery,Kluwer:Kluwer Academic Publishers,1999.

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