The Study Of Attribute Data Quality

Recently, information society is leading various directions of human life. Geographic information system is one of the framework technologies. It deals with national economy, development of society and security of our nation. In GIS, data quality is one of the key aspects.The Recent studies of data quality in GIS most focus in the error of spatial data. The error study on attribute data is very weak. Most studies centralize in precision analysis of attribute data from remote sensing and introduction of new method. The studies of attribute information quality stored in RDB are very weak.To design a basic evaluation model of attribute data in GIS, using various theory of data quality, this paper makes a deep analysis of quality control and evaluation of attribute data and brings forward a effective measure against error in attribute data. A good method is presented to improve precision of attribute data in this paper. In this paper, we present a compositive evaluation model that could distribute total score of each item according to its own power for the first time. For large database that can store various class data, this paper presents a an evaluation model that could compute power of each class according to its own proportion and weightiness in total data, and then distributes total score of each class according to its own power.This paper applies above theory to 1/250000 toponym database of Shandong province, executes control and evaluation on attribute data and brings forward a feasible measure of quality control. After the evaluation in toponym database based on above theory, we get a good result.