在空间关联规则挖掘中，如何进行定量定性转换是一个十分关键的问题，而云理论正是一种处理该问题的有效工具。文章提出了一种基于云模型的属性空间软化分方法，并且通过研究传统的关联规则挖掘方法和空间数据本身的特点，对Apriori 算法进行了改进，提出了更适用于对空间数据进行挖掘的算法。最后通过实例测试，验证了改进算法的有效性。关键词：云理论； 空间关联规则； 空间数据挖掘； Apriori 算法An Algorithm of Mining Spatial Association Rules based on Cloud Theory MENG Fan-rong ZHENG Zhong-pei CHEN Pei-pei (Computer Science and Technology Department, China University Of Mining And Technology,221008,China) Abstract: The transforms between qualitative concepts and their quantitative expressions plan an important role in spatial association mining，the cloud theory is this kind of powerful tools. In this paper, an attribute induction and concept promotion method on cloud model is proposed. By studying the methods of data mining and the characters of spatial data，an improved spatial association rule mining algorithm based on Apriori is proposed. Finally an example is explained and confirmed this method validity.Keywords: cloud theory; spatial association rules; spatial data mining; Apriori algorithm