Quality assessment of attribute data in gis based on simple random sampling

Liu Chun; Shi Wenzhong; Liu Dajie

doi:10.1007/BF02826748

Quality assessment of attribute data in gis based on simple random sampling

Liu Chun, Shi Wenzhong, Liu Dajie

Research output: Journal article publication › Journal article › Academic research › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	13-19
Number of pages	7
Journal	Geo-Spatial Information Science
Volume	6
Issue number	2
DOIs	https://doi.org/10.1007/BF02826748
Publication status	Published - Jun 2003
Externally published	Yes

Keywords

Attribute data
Quality assessment
Rate of disfigurement
Simple random sampling

ASJC Scopus subject areas

Geography, Planning and Development
Computers in Earth Sciences

More information

10.1007/BF02826748

Cite this

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title = "Quality assessment of attribute data in gis based on simple random sampling",

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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AU - Chun, Liu

AU - Wenzhong, Shi

AU - Dajie, Liu

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AB - 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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KW - Simple random sampling

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Quality assessment of attribute data in gis based on simple random sampling

Abstract

Keywords

ASJC Scopus subject areas

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