数字土地信息中属性数据的质量控制

基金项目: 国家自然科学基金资助项目(40171078);香港特别行政区资助局资助项目(3-ZB40);香港理工大学资助项目(1.34.9709)

详细信息

Quality Control for Attribute Data in Digital Land Information

1 Department of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai 200092, China;
2 Advanced Research Center for Spatial Information Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong

摘要: 提出了一种数字土地信息属性数据质量的检验、度量和分析的方法。首先给出了基于简单随机抽样和分层抽样的属性数据缺陷率度量数学模型,基于该统计模型,以某工业开发区的农村土地利用现状数据为例,探讨了土地利用属性数据的质量抽样方案、质量度量和质量分析的具体思路。
- 土地利用现状数据 /
- 属性数据 /
- 质量
Abstract: The rate of disfigurement is put forward to measure the accuracy of attribute data based on the sampling inspection.To a real GIS application as land information system, it is basic to collect the land use data and to establish its spatial database when developing the application of land use information system.Generally, the attribute data is regarded as an emphasis of the whole land use data set for its main content of the spatial analysis.So the enhancement of quality control for attribute data can be propitious to set up integrity land information system and provide the reliable service by land use analysis. The inspection, determination and analysis of the attribute data quality are discussed.The rate of disfigurement model is described in detail based on the simple random sample and the stratified sample.
- land use data /
- attribute data /
- quality