基于概念树的空间关联规则挖掘算法及其在土地利用分析中的应用

从地理信息系统（GIS）的角度研究空间关联规则的挖掘算法，以GIS智能分析和辅助决策为主要应用，从单一数据层中的空间概念层次关系研究空间关联规则的挖掘算法，利用该算法对龙海市土地利用进行空间拓扑关系挖掘，得到一些有意义的空间关联规则，例如is_a园地∧adjacent_to交通用地→有居民区，以及is_a水域∧adjacent_to耕地^intersects交通用地→有居民区。

A Spatial Association Rule Algorithm Based on Concept Tree and its Application in Land Use Analysis

Spatial association rule is one of the mining. It emphasizes particularly on confirming the the dependence of data in multi-fields. An important most fundamental rules in the result of spatial data relation of data in different fields. It tries to find out research field of land use analysis is to determine the spatial topology relations in the land use. This paper introduces a research on the algorithms of spatial association rule from the point of GIS based on the application of assistant decision-making in intelligent GIS. An efficient method for mining spatial association rule that uses the relation of spatial concept in the same layer has been tested and practically used in the land use of Longhai, and some very realistic and significant association rules have been determined such as：is_a gardenland A adjacent_to trafficlandspatial association rule; spatial concept; land use; spatial topological ∧analysis residential, and is_a water ∧ adjacent_to growland ∧ intersects trafficland → residential.