Research on Quality Control for Attribute Data Based on Stratified Sampling Theory

Author

Kong, Wei Hua

Author_Institution

Sch. of Archit. Eng., Shandong Univ. of Technol., Zibo, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

At present, quality contral for attribute data of GIS is a hot topic in the field of geographic information system; and thereinto, quality contral theory for attribute data based on disfigurement rate develops rapidly and it has been used in some fields. In this article, on the basis of disfigurement rate theory of attribute data by stratified random sampling, a disfigurement classification for attribute data from college database is proposed; the disfigurement rate and its variance in all layers and types are provided; the quality condition of attribute data in the whole system is evaluated by disfigurement tolerance.

Keywords

database theory; geographic information systems; quality control; stratified flow; GIS; attribute data based; college database; disfigurement rate develops; disfigurement tolerance; geographic information system; quality control research; stratified random sampling; stratified sampling theory; Cause effect analysis; Data analysis; Databases; Educational institutions; Geographic Information Systems; Ground support; Information analysis; Quality control; Sampling methods; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5365135

Filename

5365135