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The study deems the CBR approach as a kind of problem-oriented spatial data mining method and provides case-based similarity and reasoning algorithms to extract knowledge from geographical data. First, this paper provides problem-oriented method to represent and organize geographical cases. Second, a rough set theory-based approach was employed to quantitatively retrieve these inherent spatial relationships. Third, a general model was then proposed to calculate the spatial similarity among geographic cases considering different spatial characteristics and relationships of geographical cases. The CBR method was then tested by studying a typical geographic phenomenon, Results of the studies show that CBR method has its advantages in quantitatively analyzing spatial data as well as in solving geographical problems.
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009 (Volume:5 )
Date of Conference: 12-17 July 2009