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金属矿山 ›› 2009, Vol. 39 ›› Issue (07): 73-76.

• 地质与测量 • 上一篇    下一篇

排序扫描线算法在克里格估值中的应用

孙卡,翁正平,李章林,吴冲龙   

  1. 中国地质大学(武汉)
  • 出版日期:2009-07-15 发布日期:2011-04-26

Application of Sequential Scanning Algorithm in Kriging Prediction

Sun Ka,Weng Zhengping,Li Zhanglin,Wu Chonglong   

  1. China University of Geosciences
  • Online:2009-07-15 Published:2011-04-26

摘要: 将样品数据和块体数据所在的地理坐标转换到搜索椭球体的走向、倾向、垂向所构成的坐标系中;然后在新坐标系中沿各轴向对样品数据、块体数据进行排序;最后以搜索椭球体的最小矩形包围盒为边界,采用折半查找算法来确定影响当前块体品位的样品数据,从而加速克里格估值过程。

关键词: 排序扫描算法, 克里格估值, 搜索椭球体, 块体模型, 最小包围盒, GeoView, QuantyMine

Abstract: The geographical coordinates of sample data and block data are transformed into the coordinates formed by the searching ellipsoid's strike direction, inclination and vertical direction.Then, the sample data and the block data in the new coordinate system are sequenced along axle direction.Finally, with the least rectangular bounding box of the search ellipsoid as the boundary, the sample data influencing the current block grade are determined by binary search algorithm, thus speeding up the grade prediction process.

Key words: Sequential scanning algorithm, Kriging prediction, Search ellipsoid, Block model, Least bounding box, GeoView, QuantyMine