摘要
为了提高空间数据质检的效率,实现要素类间拓扑空间关系的智能检测,提出了面向规则的智能空间数据质检模型(RSTT),重点讨论了RSTT模型体系结构和拓扑规则等核心问题.基于RSTT和四层体系结构模型,以空间数据质检方案的灵活定制、数据批量自动检查和质检规则零编码扩展等为目标,开发了空间数据质检系统LR_Checker.通过近40 G的国土资源空间数据测试表明,应用LR_Checker进行数据检查可大大降低空间数据建库的工作量,并可有效控制数据质量,同时也证明RSTT模型的正确性、有效性和合理性.
Rule oriented intelligent spatial data quality testing model （RSTT） is proposed to enhance the efficiency of the spatial data quality checking and make the intelligent topological relation testing between feature classes. RSTT model structure and topo rule core questions with emphasis are discussed. Based on RSTT model and four-level structural model, taking the nimbly customization of spatial data testing schema, batch and automatic data checking and zero code expansion of testing rule as the goals, spatial data quality testing system LR_Checker has been developed. The testing with 40 G spatial data of land and resouces indicate that, LR Checker can be used to reduce data checking work greatly, and can control data quality effectively, at the same time it can also prove the RSTT model accuracy, validity and rationality.
出处
《浙江大学学报（理学版）》
CAS
CSCD
北大核心
2008年第1期100-104,110,共6页
Journal of Zhejiang University（Science Edition）
基金
浙江省重大科技专项重点项目“浙江省地质灾害隐患监测网络系统”资助(项目编号:2006C13024)
