PROGRESS IN GEOGRAPHY ›› 2007, Vol. 26 ›› Issue (6): 123-132.doi: 10.11820/dlkxjz.2007.06.013

• Original Articles • Previous Articles     Next Articles

Resear ch on Progr ess of Spatial Association Rule Mining

ZHANG Xuewu1,2, SU FenZhen1, SHI Yishao2, ZHANG Dandan1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China|
    2. Department of Surveying and Geo- informatics, Tongji University, Shanghai 200092, China
  • Received:2007-08-01 Revised:2007-11-01 Online:2007-11-25 Published:2007-11-25


With the progress of spatial data technologies, the volumes of the spatial data enhance gradually, far exceeding people’s ability to analyze it. Traditional spatial data analysis methods can only carry out simple data analysis, having no way to satisfy people’s need of gaining knowledge. Spatial association rule mining approach, which is used to acquire underlying spatial knowledge from spatial database managing complex, multiple- dimension, large, and flexibility border space spatial data, is a fundamental mission of the spatial data mining. The authors make an annotated review of basic concepts, classification, mining process, current research achievements and so on, especially paying attention to approaches improving mining efficient, mining method based on the uncertain space information and attribute information, visualization of mining results and processes, and negative spatial association rule mining. After deeply analyzing research achievements and existing problems, the authors bring forward the future main development directions of spatial association rule mining.

Key words: association rule mining, data mining, geographic information system, spatial data