摘要
提出了质检规则、质检模板、质检方案和质检任务的四要素质检模型(RSTT),重点讨论了RSTT模型体系结构和拓扑规则等核心问题。以及基于RSTT和四层体系结构模型,分析系统功能模块划分、质检流程和海量空间数据库的设计等关键问题,并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)。采用近40G的国土资源空间数据测试表明,采用LR_Checker可大大降低数据检查的工作量,并可有效控制数据质量,同时也证明了RSTT模型的正确性、有效性和合理性。
A four-factor quality testing model （RSTT） was proposed based on the quality testing rule, the quality testing template, the quality testing schema and the quality testing task. The RSTT model structure and topo rule core questions are emphasitically discussed. Based on RSTT and the four-level structural model, this paper deals with the key questions concerning the design of analysis system function module division, quality testing flow and magnanimous spatial database. Taking the nimbly customization of spatial data testing schema, batch and automatic data checking and zero code expansion of testing rule as the goals, the spatial data quality testing system LR_Checker has been developed. The testing with 40G spatial data of land and resources indicates that it is possible to reduce data checking work greatly and can control data quality effectively using LR_Checker. At the same time the accuracy, validity and rationality of RSTY model are also proved.
出处
《地球信息科学》
CSCD
2007年第1期129-135,共7页
Geo-information Science
