Abstract: The reasonable effective configuration of epidemic prevention and management resources(personnel and equipment,etc.) is one of the main concerns about animal epidemic prevention system．This paper proposed a method to classify and divide foci based on a spatial clustering method and a principle of maximum included angles．Firstly,the K-Means clustering analysis method was applied to the foci distribution and realized the classification of foci by intimate or distant relationship．Secondly,based on the principle of maximum angle,determined the boundary line of each classification．By above methods,realized the foci classification division according to the spatial relationship and got divided area,so that epidemic management personnel could get decision support to effectively monitoring and analyzing epidemic spatial distribution model,controlling and preventing the spread of the animal epidemic information.

Key words: Epidemics,Spatial clustering,Boundary points search,Classification zone