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Integrity constraints govern valid or allowable states within a spatial data set. In geographic information science, the topic is closely aligned with data quality and integrity, database management, and topology. We strive for quality in spatial data because we want to be confident about the results of any analysis we undertake using the data. Broadly, two approaches have been taken to manage quality in spatial databases using integrity constraints: first, to prevent errors occurring at data entry, and, second, to discover and correct errors that do occur once the GIS are up and running. To fully discuss this topic, the issue of spatial data quality is discussed first. Next, solutions from the mainstream database world are examined. Finally, some of the problems unique to spatial ...

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