中文摘要：

提出利用叠置分析和面积计算实现空间关联规则挖掘的算法I-Apriori及其改进算法FI-Apriori,这两种算法不依赖于空间数据的事务化,可以直接从矢量多边形图层中提取所有强关联规则。采用实际数据对两种算法进行了检验,验证了它们的可用性与有效性,并对挖掘所得空间关联规则的筛选和可视化方法进行了探讨。

英文摘要：

A spatial association rule mining method is proposed in this study,including support counting method based on overlay analysis and area calculation,and corresponding mining algorithms.Using this method,the extraction of spatial transactions is not needed,and association rules can be mined out directly from layers of polygon features.Besides,the results are easy to be visualized with the help of GIS.An experiment with real-world data shows that this method is valid and efficient,and the result can be further analyzed with screening and visualization methods.