Quality tolerance for attribute data in geographic information system based on rate of disfigurement

C. Liu, Wen Zhong Shi, D.J. Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)


Most of attribute data in geographic information system (GIS) are described with non - quantity feature data other than quantity feature data. Some scholars discuss the accuracy measurement and the quality control of attribute data with the theory of rough set, fuzzy set, genetic algorithm, gray theory, Chaos theory and so on. However,such methods are still difficult to be used in practice application. In this paper, the rate of disfigurement is discussed to be used to measure the accuracy of attribute data based on the sampling inspection, which is a new method during the researching of accuracy of attribute data in GIS. However, the selection of the sampling schemes can decide the reliability of the rate of disfigurement. So the inspection size of simply random sampling is given according to the principle of limiting the largest relative bias, while the computation equation and result are given and tabled so that they can be consulted. Based on all the above, the tolerance for quality of the attribute data is discussed and put forward, and the attribute will be regarded as unqualified while the rate of disfigurement exceeds the quality tolerance. Besides,a study case is given to explain the practical application with the quality control method based on rate of disfigurement, ensuring the attribute data quality control effectively.
Original languageEnglish
Pages (from-to)1355-1360
Number of pages6
Journal同济大学学报. 自然科学版 (Journal of Tongji University. Natuaral science)
Issue number11
Publication statusPublished - 2002


  • Attribute data
  • Rate of disfigurement
  • Quality control

ASJC Scopus subject areas

  • General


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