Fractal invariable distribution and its application in large-sized and super large-sized mineral dep

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The self-similar is a common phenomena arising in the field of geology.It has been shown that geochemical element data,mineral deposits,and spacial distribution conform to a fractal structure.A fractal distribution requires that the number of objects larger than a specified size have a power-law dependence on size.This paper shows that a number of distributions,including power-function,Pareto, lognormal,and Zipf,display fractal properties under certain conditions and that this may be used as the mathematical basis for developing fractal models for data exhibiting such distributions.The summation method is developed on the basis of fractal models to determine thresholds for Au data in Shandong Province, China.The anomalous area is enclosed by contours which have contour values greater than or equal to threshold(200×10~(-9)) and contains known large-sized and super large-sized gold mineral deposits. The self-similar is a common phenomenon arising in the field of geology. It has been shown that geochemical element data, mineral deposits, and spacial distribution conform to a fractal structure. A fractal distribution requires that the number of objects larger than a specified size have a power-law dependence on size. This paper shows that a number of distributions, including power-function, Pareto, lognormal, and Zipf, display fractal properties under certain conditions and that this may be used as the mathematical basis for developing fractal models for data exhibiting such distributions.The summation method is developed on the basis of fractal models to determine thresholds for Au data in Shandong Province, China. anomalous area is enclosed by contours which have contour values ​​greater than or equal to threshold (200 × 10 ~ (-9)) and contains known large-sized and super large-sized gold mineral deposits.
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