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基于几何坐标法的多维数据可视化技术在地质数据处理中的应用
引用本文:李建忠,崔静,刘彦兵,刘向冲,杨文广,申维. 基于几何坐标法的多维数据可视化技术在地质数据处理中的应用[J]. 地学前缘, 2012, 19(4): 159-164
作者姓名:李建忠  崔静  刘彦兵  刘向冲  杨文广  申维
作者单位:1. 地质过程与矿产资源国家重点实验室; 中国地质大学(北京) 地球科学与资源学院, 北京 1000832. 中国石油化工股份有限公司 石油物探技术研究院, 江苏 南京 210014
基金项目:国家自然科学基金项目,高等学校学科创新引智计划项目,地质过程与矿产资源国家重点实验室项目本文的数据由澳大利亚新南威尔士大学地球科学学院D.R.Cohen博士提供;在研究中还得到了他的指导与帮助;在此致谢
摘    要:为简单且快速地查看地质研究过程中所获得地质数据属性信息的分布特征,用VC++6.0实现了常用的基于几何坐标法的多维数据可视化方法,即平行坐标法和圆形平行坐标法。这两个方法融合了直方图和等值线图各自的优点,可以同时查看数据的频数分布及其对应的坐标,还可以通过多个坐标轴显示数据,拓宽了一个图所能承载的数据信息,因此可以用这样的一个图形总体把握数据的分布特征。该方法在澳大利亚新南威尔士州Mandamah地区铜金矿床钻孔数据的应用中,通过折线密度可以看出Au、Cu、Pb和Zn等元素都有高值突出,即高值附近折线密度稀疏,而大量数据聚集在低值附近,即低值附近折线分布密度高。

关 键 词:多维数据可视化  平行坐标法  圆形平行坐标法  
收稿时间:2010-07-20
修稿时间:2011-11-22

Geological application of multidimensional data visualization based on geometric coordinate method
Li Jianzhong,Cui Jing,Liu Yanbing,Liu Xiangchong,Yang Wenguang,Shen Wei. Geological application of multidimensional data visualization based on geometric coordinate method[J]. Earth Science Frontiers, 2012, 19(4): 159-164
Authors:Li Jianzhong  Cui Jing  Liu Yanbing  Liu Xiangchong  Yang Wenguang  Shen Wei
Affiliation:1,*1.State Key Laboratory of Geological Processes and Mineral Resources;School of Earth Sciences and Resources,China University of Geo-sciences(Beijing),Beijing100083,China2.Sinopec Geophysical Research Institute,Nanjing210014,China
Abstract:To display the distribution of attribute information in the geological research,in this paper,we have achieved the commonly used methods of multidimensional data visualization including parallel coordinates,circular parallel coordinates and the planar disperse points method with VC++6.0.Obviously,the parallel coordinate method and the circular parallel coordinates method both have the advantages of histogram and the contour map,so that,we can check the distribution of the frequency and its position at the same time.The data can be displayed in multi-coordinates using these methods,so there are more information to be born in one single map,then we can grasp the whole distribution features of the data using the map.These methods have been applied to display the drillhole data in the Cu-Au deposit in Mandamah,New South Wales,southeast of Australia.The density of the polygonal lines shows that there are high-value for the elements of Au,Cu,Pb,Zn,etc.,that is,there are spaase polygonal lines near the high-value,however,there are abundant data concentrated near the low values,i.e.,the polygonal lines are densely distributed near the low-value.
Keywords:multidimensional data visualization  parallel coordinates  circular parallel coordinates
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