Provided by: International Journal of Engineering, Technology, Science and Research (IJETSR)
Topic: Data Management
The growing production of maps is generating huge volumes of data that exceed people's capacity to analyze them. The applications covered by spatial data mining are decisional ones, such as geo-marketing, environmental studies, risk analysis; and so on. It seems appropriate to apply knowledge discovery methods like data mining to spatial data. This recent technology is an extension of the data mining applied to alphanumerical data on spatial data. For example, in geo-marketing, a store can establish its trade area, i.e. the spatial extent of its customers and then analyze the profile of those customers on the basis of both their properties and the properties related to the area where they live.