Data Mining for Spatial Relations Based on Zero Initialization

This paper discusses the basic features and the models of spatial data. Beyond current topology and distance relations, it comes up with the location, neighborhood, nearness and influence conceptions of spatial data and consummates the descriptions of spatial relations. It points out only the location data is the primitive data, other spatial relations are derived data. Based on the computability of derived data, the feature of raster data that the whole research area is been structured with regular cells and related theory and technology in map algebra, the paper adopts the idea of zero-initialization and proposes the method of data mining for spatial relations based on location data.