Back to results list
Please use this identifier to cite or link to this item:
|Other Titles:||Quality assessment for attribute data in GIS based on simple random sampling|
|Authors:||Shi, W |
|Source:||武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University), Oct. 2002, v. 27, no. 5, p. 445-450, 461 How to cite?|
|Journal:||武汉大学学报. 信息科学版 (Geomatics and information science of Wuhan University)|
|Abstract:||在一般抽样原理的基础上 ,给出了缺陷率统计模型 ,并推导出缺陷率的两个统计特征值均值和方差。理论结果和应用实例说明了缺陷率对GIS属性数据精度度量的可行性。在此基础上 ,利用缺陷率的均值和方差 ,详细给出了GIS数据生产时单幅数字地图以及多幅数字地图对应属性数据质量的评定应用。|
The research of spatial data accuracy and uncertainty began in the 1960s,and the NCDCDS (National Committee for Digital Cartographic Data Standards,1988) identified several components of data quality as positional accuracy,attribute accuracy,logical consistency,completeness and lineage.At present,the issue of the representation of uncertainty in spatial data has become more and more of a concern.The description of error is take as a "function of information" and a "fundamental dimension of data" because of endemic nature of error in GIS widely recognized.Correspondingly,the development of what have been termed error_sensitive GIS has been deeply researched. The using of sampling method in the analysis of spatial data accuracy and its measurement has two reasons:① it conforms to the international standard that spatial data is taken as a product to be quality inspected;② the data quality can be deduced and described with low expenses and high efficiency. So,on the basis of the principles of the simple random sampling,the statistical model of rate of disfigurement (RD) is put forward and described in detail.Based on the definition of the simple random sampling for the attribute data in GIS,the mean and variance of the RD are deduced as the characteristic valve of the statistical model in order to explain the feasibility of the accuracy measurement of the attribute data in GIS using the RD.From the result of the deduced equation about the mean and variance of RD,the mean of RD is the measurement of the amount of the defects while the variance of RD is the measurement of the scatteration of the defects.So the mean of RD can be used to measure the attribute data accuracy while the variance of RD can measure the accuracy of the sampling and assure the sampling confidence.After that,the quality assessment method for attribute data of the singe or batch of vector maps during the procedure of the collecting is discussed based on the mean and variance of the RD.The RD spread graph is also drawn to see whether the quality of the attribute data is under control.The RD model can synthetic judge the quality of attribute data,which is different from other measurement coefficients that only discuss the accuracy of classification,so it can find its significance by realizing the measurement of the accuracy during the research of accuracy and uncertainty for attribute data in GIS.
|Rights:||© 2002 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。|
© 2002 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
|Appears in Collections:||Journal/Magazine Article|
Show full item record
Files in This Item:
|Shi_Quality_Assessment_Attribute.pdf||227.44 kB||Adobe PDF||View/Open|
Checked on Jun 19, 2017
Checked on Jun 19, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.