空间数据挖掘技术及应用

Spatial Data Mining Technology and Application

随着空间获取技术和计算机网络等技术的迅速发展,使得空间数据资源急剧膨胀,为了充分利用这些海量数据,并推动地理信息系统的发展,本文对空间数据挖掘与传统数据挖掘进行比较,和空间数据挖掘的主要方法及特点进行了分析,总结出空间数据挖掘技术可包括空间数据概化、空间规则挖掘、空间分类、空间趋势预测、空间聚类、空间离群点查找等,并举例说明空间数据挖掘在农业和地质探矿中的应用,取得了一定的成果。最后,对未来可能的研究方向作了分析与展望。

Along with the rapid development of spatial gain technology and computer network and so on, the spatial data resources inflate suddenly. In order to fully utilize the magnanimous data, and promote the development of geographical information system, this article carries on the comparison to the spatial data mining and the traditional data mining, analyzes the main method and character of spatial data mining, summarizes the spatial data mining technology to be possibly inelude： the spatial data melts, the spatial rule mining, spatial classification, spatial tendency prediction ,spatial cluster, spatial stray spot search and so on, explains with examples of the spatial data mining application in agricultural and the geological prospecting application, has made a certain progress. Finally, we have made the analysis and forecast to the possible future research direction.