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  • 1
    Electronic Resource
    Electronic Resource
    Statistical map analysis techniques applied to regional distribution of uranium in stream sediment samples from the southeastern United States for the National Uranium Resource Evaluation Program (1980)
    Springer
    Mathematical geology 12 (1980), S. 339-366 
    Details
    ISSN: 1573-8868
    Keywords: uranium ; exploration geochemistry ; data display ; mapping digital filtering ; modeling ; computer graphics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract The U.S. Department of Energy National Uranium Resource Evaluation Program is collecting stream sediment samples at a nominal density of one per 13 km2 from two-degree quadrangles throughout the United States. Each sample has been analyzed for from 14 to 43 chemical elements and other variables. We describe new methods of statistical map analysis, which we have applied to the regional distribution of multielement data from four two-degree quandrangles in the southeastern United States including parts of the southern Appalachian Mountains and the Coastal Plain, with particular reference to uranium distributions. Patterns of uranium distribution are clearly related to the geological provinces and also to individual geologic belts, plutons, and smaller stratigraphic subdivisions. Our work developed several anomalies, some of which were followed up by additional field sampling in 1979 and 1980.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01029420
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  • 2
    Electronic Resource
    Electronic Resource
    A statistical analysis of exploration geochemical data for uranium (1980)
    Springer
    Mathematical geology 12 (1980), S. 99-114 
    Details
    ISSN: 1573-8868
    Keywords: Coefficient of variation ; sampling error ; serial correlation ; spectral analysis ; uranium
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract This paper describes a statistical analysis of reconnaissance exploration geochemical data for uranium. Three sets of data were analyzed, as they related to: (a) Charlotte-Winston-Salem and (b) Charlotte two-degree NTMS quadrangles of the south-eastern U.S.A. The coefficient of variation for uranium in each of the three sets of data was less than unity and hence no transformation of the original variable was needed. These data were subjected to correlogram analysis. A first-order Markovian model of the type: Y0 exp (-a |p|) was fit by the least-squares method to serial correlation coefficients of these data using the method proposed by Deming (1948). The model was tested by computing the variance-volume relationship for assumed individual blocks of unit length. The noise in the input (record) was eliminated by the application of an optimum bilateral exponential smoothing technique developed by Agterberg. A comparison of spectral density estimates obtained by a maximum entropy method employing Yule-Walker equations and the Burg algorithm was also made. The prediction error coefficients needed to determine the order of the autoregressive process and hence the spectral densities were determined in both cases for the three sets of data.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01035242
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    Paper (German National Licenses)
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