Buttenfield, Barbara P.

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Abstract: The advent of remote sensing and survey technologies over the last decade has dramatically enhanced our capabilities to collect terabytes of geographic data on a daily basis. However, the wealth of geographic data cannot be fully realized when information implicit in data is difficult to discern. This confronts GIScientists with an urgent need for new methods and tools that can intelligently and automatically transform geographic data into information and, furthermore, synthesize geographic knowledge. It calls for new approaches in geographic representation, query processing, spatial analysis, and data visualization (Yuan 1998, Miller and Han 2000; Gahegan, 2000). Information scientists face the same challenge as a result of the digital revolution that expedites the production of terabytes of data from credit card transactions, medical examinations, telephone calls, stock values, and other numerous human activities. Collaborative efforts in artificial intelligence, statistics, and databases communities have been the underpinning technologies of knowledge discovery in databases to extract useful information from massive amounts of data in support of decision-making (Gardner 1996, Bhandari et al. 1997, Hedberg 1996).

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