节点文献
概率图解法原理及可视化应用研究
RESEARCH ON THE PRINCIPLE OF PROBABILITY GRAPH AND ITS VISUAL APPLICATION
【摘要】 概率图解法是一种在二维图形上直观显示品位数据线性特征的数据处理方法,通过对单一品位总体和混合品位总体线性形态的分析,给出了定量的统计分析结果,进而为品位数据集建立合理的地质假设提供依据。品位数据表现为直线形态代表矿床经历一次成矿作用,品位数据曲线出现一个明显的拐点代表该矿床经历了二次成矿作用。目前还没有出现可视化效果好,参数调节灵活,并提供不同参数设定情况下筛分图对比的概率图解法软件。这里在研究概率图解法原理及其在品位数据研究中应用的基础上,利用VB可视化编程技术,完成了概率图筛分软件的研制,为研究矿产普查与勘探中成矿期次和物质来源问题,提供了有价值的信息和依据。
【Abstract】 Probability Graph is a data processing method that displays the grade data linear feature in two-dimensional space. Base on the analysis of simplex grade assemblage and admixture grade assemblage’s linear feature, the quantitative statistical analysis result can be figured out to provide the evidence for establishing geology hypothesis to grade data set. Graded data represent straight line to mean that the deposit has one metallogenic period and represent one obvious inflection point to mean that the deposit has two metallogenic periods. There is no Probability Graph Software with fine visualization effect, flexible parameter adjustment and screening graph contrast in different parameter setting conditions at present. Based upon the study of the principle of probability graph and its application to the grade data, the screening software of probability graph is developed with Visual Basic programming technology. This software makes the study on metallization period and material sources in exploration more convenient to provide the valuable information.
- 【文献出处】 物探化探计算技术 ,Computing Techniques for Geophysical and Geochemical Exploration , 编辑部邮箱 ,2008年03期
- 【分类号】P628
- 【被引频次】4
- 【下载频次】134