The visualization of iteration processing of geochemical exploration data and an analysis of the result
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摘要: 地球化学勘查中,为了获得准确、客观的背景值并由其推断异常下限,需要对不服从正态分布的化探数据进行剔除离群值的迭代处理。为了深入剖析这个较复杂的过程,引用实测数据,利用“特异值检查”迭代自动化功能模块,重点研究了设置不同参数时对结果的影响和取对数迭代结果的可靠性。结果显示:根据化探数据迭代的目的和正态分布的3σ法则,认为x?i ±kSi 中k取3最为合适和合理;利用对数迭代剔除过程获得的异常下限远高于原始数据迭代剔除的结果,这是由于对数的标准离差真值并不是其对应真值的标准离差;此时,可采用真值的几何平均值和真值的标准离差计算异常下限。Abstract: To get accurate background value and anomaly threshold, it is necessary to iterate abnormally distributed geochemical data for deleting outliers in geochemistry. To analyze deeply the complex iteration procedure, actual data and “outliers check” the authors used iteration procedure to detect the effect of different parameters and reliability of logarithm transformation. Some conclusions have been reached:According to the goal and 3σrule of normal distribution, in x?i±kSi, k=3 is suitable. The higher anomaly threshold of logarithm transformation is not correct and the true value of logarithm standard deviation is not in accord with the standard deviation of the true value, so the the threshold is equal to the sum of geometric mean and standard deviation of the true value.
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Key words:
- iteration processing /
- automation /
- visualization /
- background value /
- anomaly threshold /
- true value /
- standard deviation
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