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

Liu Chun, Shi Wenzhong, Liu Dajie

Research output: Journal article publicationJournal articleAcademic researchpeer-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 languageEnglish
Pages (from-to)13-19
Number of pages7
JournalGeo-Spatial Information Science
Volume6
Issue number2
DOIs
Publication statusPublished - Jun 2003
Externally publishedYes

Keywords

  • Attribute data
  • Quality assessment
  • Rate of disfigurement
  • Simple random sampling

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Computers in Earth Sciences

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