| Quality Assessment of Attribute Data in GIS Based on Simple Random Sampling |
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| 作者姓名： | LIUChun SHIWenzhong LIUDajie |
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| 作者单位： | Ph.D.postdoctoralfellow,DepartmentofSurveyingandGeo-infomatics.TongjiUniversity,1239SlpingRoad,Shanghai200092,China |
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| 基金项目： | ProjectsupportedbytheNationalNaturalScienceFoundationofChina (No .40 1 71 0 78) ,FundfromHongKongPolytechnicUniversity (No.1 .34 .970 9)andthe
ResearchGrantsCouncilofHongKongSAR (No .3 ZB40 ) . |
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| 摘 要： | On the basis of the principles of simple random sampling,the statistical model of rate of disfigure-ment(RD)is put forward and described in detail.According to the definition of simple random sampling for the attribute data in GIS,the mean and variance of the RD are deduced as the characteristic value of the statistical model in order to explain the feasibility of the accuracy measurement of the attribute data in GIS by using the RD.Moreover,on the basis of the mean and variance of the RD,the quality assessment method for attribute data of vector maps during the data collecting is discussed.The RD spread graph is also drawn to see whether the quality of the attribute data is under control.The RD model can synthetically judge the quality of attribute data,which is different from other measurement coefficients that only discuss accuracy of classification.
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| 关 键 词： | GIS 地理信息系统 统计模型 属性数据 精确测量 矢量地图 RD模型 |
| 收稿时间： | 18 February 2009 |
Quality assessment of attribute data in GIS based on simple random sampling |
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| LIUChun SHIWenzhong LIUDajie.Quality Assessment of Attribute Data in GIS Based on Simple Random Sampling[J].Geo-Spatial Information Science,2003,6(2):13-19. |
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| Authors: | Email author" target="_blank">Liu?ChunEmail author Shi?Wenzhong Liu?Dajie |
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| Institution: | (1) Department of Surveying and Geo-informatics, Tongji University, 1239 Siping Road, 200092 Shanghai, China |
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| Abstract: | On the basis of the principles of simple random sampling, the statistical model of rate of disfigurement (RD) is put forward and described in detail. According to the definition of simple random sampling for the attribute data in GIS, the mean and variance of the RD are deduced as the characteristic value of the statistical model in order to explain the feasibility of the accuracy measurement of the attribute data in GIS by using the RD. Moreover, on the basis of the mean and variance of the RD, the quality assessment method for attribute data of vector maps during the data collecting is discussed. The RD spread graph is also drawn to see whether the quality of the attribute data is under control. The RD model can synthetically judge the quality of attribute data, which is different from other measurement coefficients that only discuss accuracy of classification. |
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| Keywords: | quality assessment simple random sampling rate of disfigurement attribute data |
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