Spatial Data Mining

Spatial Data Mining is the process of finding hidden patterns in a large spatial data set. It can be defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data . Spatial data refers to the data that pertains location and spatial dimensions of geographical entities. Some objects have spatial attributes such as positions or areas. An example can be weather data collected for a variety of locations or census data.