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Geographical data warehouses contain data coming from multiple sources potentially collected at different times and using different techniques. One of the most important concerns about geographical data warehouses is the quality or reliability of the data used for knowledge discovery, decision making, and, finally, action. In fact, this is the ultimate objective aimed by using this type of database. On the other hand, with increasing maturity and the proliferation of data warehouses and related applications (e.g., OLAP, data mining, and dashboards), a recent survey indicated that for the second year in a row, data quality has become the first concern for companies using these technologies (Knightsbridge 2006).
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