The amount of data in current geospatial repositories along with their high-dimensional nature requires a sophisticated set of analysis capabilities in order to extract new and unexpected patterns, trends, and relationships embedded in that data. Artificial intelligence and data mining methods constitute an alternative to explore and extract knowledge from geospatial data, which is less assumption dependent. Data Mining is a step in the knowledge discovery process that automatically detects patterns in data, and Geographic Data Mining is a special type of data mining that seeks to apply standard data mining tools modified to take into account the special features of geospatial data
In progress (GI-N2K)