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Geoscience ›› 2005, Vol. 19 ›› Issue (4): 615-620.

• Engineering Geology and Environmental Geology • Previous Articles     Next Articles

Statistical Methods on Metallogenic Prognosis Data Processing

WAN Li1,2,3, WANG Qing-fei1,2, GAO Bang-fei1,2 , WANG Ying1,2, Zhou Ying-hua1,2, XU Hao1,2   

  1. 1State Key Laboratory of Geological Processes and Mineral Resources,China University of Geosciences, Beijing100083,China;
    2Key Laboratory of Lithosphere Tectonics and Lithoprobing Technology of Ministry of Education , China University of Geosciences, Beijing100083,China;
    3School of Mathematics and Information Science, Guangzhou University, Guangzhou, Guangdong510006, China
  • Received:2005-01-20 Revised:2005-10-09 Online:2005-04-20 Published:2005-04-20

Abstract:

Processing the data obtained by statistical method and deducing their intrinsic regulations an important approach for the locaton of concealed ore body.From the point of view of mathematic principle analysis, the authors discussed the mathematic principles and physical meanings of multivariate statistical analysis, geological statistical analysis, fractal and random process, and also illuminated the relation among the different methods. Based on the characteristics of mathematic methods and the attributes of geological data, it was suggested that self-affine fractal and random process analysis would have an expansive foreground in metallogenic prognosis.The joint application of the traditional mathematic methods facilitates the data analysis and the method improvement.For instance, the assembled employment of Weibull model and the fractal succeeded in describing the distribution of the ore-forming elements of the Dayingezhuang ore deposit, Jiaodong Peninsula.

Key words: metallogenic prognosis, statistical analysis, fractal, random process

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