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Overview: This paper published by the University of Melbourne discusses the representation of spatial variation of data quality in spatial databases using three models: per-feature, feature-independent, and feature-hybrid. In the per-feature model, quality information is stored against each spatial feature (object) stored in the database. In the feature-independent model, quality information is stored independently of particular features (as a field). The feature-hybrid model is derived from a combination of per-feature and feature independent models. The paper concludes with a review of the relative merits of the different strategies for storing spatially varying data quality information.
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