Geospatial data are the backbone of spatial analysis, but only current and accurate data can provide the appropriate
framework for successful use of GIS technology. The revision of geospatial data is still one of the major open challenges
for the successful implementation of Geographic Information Systems (GIS). There is a great need for cost-efficient data
revision and quality control methods in order to fulfill the need of most faithful image of the geographic space reality.
Maintaining one database per scale without directly maintaining interrelationship between multiple scale databases leads
to no update propagation and inter-database consistency is lost. A Multi-resolution/representation-database (MRDB)
approach is proposed in this paper to solve this problem. MRDB is a spatial database technology that designed to store
one real world phenomena at several specially designed levels of precision, accuracy and resolution. Propagating updates
between these different scales datasets in MRDB with the advantage that data consistency and integrity can be
significantly improved and enable an automatic incremental update process for the data sets.