An Incremental Data Mining Method for Spatial Association Rule in GIS Based Fireproof System

In a GIS based forest fire-proof system, we need to find out the relation between the factors of the outer environment and the fire-grade. Association data mining method is an effective way to achieve this goal. Further more, the factors are not stable in different cases, and the result could be seen as an experimental conclusion. We need to change the model according to the increasing data. This paper proposes an incremental spatial data- mining method based on the frequency theory, and applies it in the spatial data mining.