9.3 Materializing Spatial Correlation
Spatial correlation (or, neighborhood influence) refers to the phenomenon of the location of a specific object in an area affecting some nonspatial attribute of the object. For example, the value (nonspatial attribute) of a house at a given address (geocoded to give a spatial attribute) is largely determined by the value of other houses in the neighborhood.
To use spatial correlation in a data mining application, you materialize the spatial correlation by adding attributes (columns) in a data mining table. You use associated thematic tables to add the appropriate attributes. You then perform mining tasks on the data mining table using Oracle Data Mining functions.
The following functions and procedures, documented in SDO_SAM Package (Spatial Analysis and Mining), perform operations related to materializing spatial correlation:
Parent topic: Spatial Analysis and Mining