Applications of Spatial Association Rules in the Study of Relationship between Landuse and Terrain Features
Songlin Chen · Journal of Subtropical Resources and Environment · 2011
The spatial association rule,which indicates relationship between spatial objects,is an important aspect in spatial data mining.This paper introduced the Apriori algorithm for the data mining in spatial association rules.Taking Fuzhou city as an example,the DEM,the slope,the aspect and the landuse of the city in 2009 were extracted to study spatial association rules between terrain features and landuse.Meanwhile,shortcomings of the Apriori algorithm and extracted spatial association rules were discussed.The results revealed that Fuzhou landuse in 2009 was largely forest lands,with not enough farmlands,residential lands and so on.It was also found that at different levels of support and confidence,extracted results would differ accordingly.Therefore,the improvement of the Apriori algorithm efficiency,the setting of reasonable support and confidence levels and the interpretation of extracted association rules are some keys for the issue.