A Spatial Data Mining Method for Mineral Resources Potential Assessment
On the basis of multi-source geology spatial database and traditional spatia data mining, a spatial data mining method for mineral resources potential assessment was proposed in this paper, which the spatial characteristics and uncertainty of geology data were reasonable to consider. The method mainly include continuous geological spatial data discretization, spatial relationship abstracting and attribute transforming, mining metallogenic association rules and quality assessment, comprehensive evaluation of metallogenic association rules and potential assessment.Finally, the experiment of mineral potential assessment for iron deposits was performed in Eastern Kunlu, Qinhai province,China ,using spatial data ming method and weights-of-evidence model, respeciively.The results indicate that the prediction accuracy of spatial data mining was obvious higher than weights-of-evidence models, the method is suitable for mineral resources potential assessment and its effectiveness is good.
spatial data mining mineral resources potential assessment uncertainty association rules eastern Kunlun
Binbin He Ying Cui Jianhua Chen Pingjing Xie
Institute of Geo-Spatial Information Science and Technology,University of Electronic Science and Technology of China,Chengdu 611731,China
国际会议
福州
英文
96-99
2011-06-29（万方平台首次上网日期，不代表论文的发表时间）