Abstract
Evaluation of spatial data quality is an important problem in Geographical Information System (GIS) applications and research. Many evaluation criterions of spatial data are involved in the evaluating process, The criterions for judging the quality of spatial data comes from the evaluation process, using such information as positional accuracy, attribute accuracy, logical consistency, temporal accuracy and so on. How to evaluate the quality of spatial data based on these indexes is a problem we are always confronted within GIS applications. In this paper, we construct a model for determining spatial data quality using attribute recognition principles and methods in Attribute Mathematics, which were founded by Cheng Qiansheng. This model overcomes the defects of current evaluation models, and leads to reasonable and reliable results on spatial data quality in GIS as proved by the results of our tests.
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