A fundamental approach to threshold estimation in exploration geochemistry: probability plots revisited

作者: A.J. Sinclair

DOI: 10.1016/0375-6742(91)90071-2

关键词: Probability plotStandard deviationStatisticUnivariateComputer scienceVariable (computer science)Range (statistics)Contrast (statistics)Probability density functionGeochemistry

摘要: Abstract Several threshold estimation (and thus anomaly recognition) procedures are in use of exploration geochemistry. Experiential methods rely on absolute values graphs or tables and highly subjective being dependent the variable experience explorationists. Model-based techniques determination, including mean plus two standard deviations, arbitrary inefficient: thus, they not suitalbe despite widespread have found past. objective include gap statistic probability graph approaches, latter finding much greater acceptance with greatly increased ease a recently available microcomputer software package that can treat many variables easily rapidly. Many critical decisions geochemistry require comprehensive interpretation data, clear insight into recognition anomalous background samples. cannot be made vigorous confident manner unless based fundamental approach to selection. Examples include: (1) element zoning geochemistry: (2) geochemical contrast: (3) isotropic anisotropic nature anomalies: (4) an areal extent anomalies various elements. Methods which incorporate philosophy data each characterized by their own density functions will most successful deriving estimation. In simplest general case, there overlapping populations, character leading naturally extension single concept definition thresholds delimit range overlap. Such concept, conceived applied individual variables, extended n-dimensional case. Univariate approaches continue dominate practical applications foreseeable future except special circumstances.

参考文章(14)
W.K. Fletcher, S.J. Hoffman, M.B. Mehrtens, A.J. Sinclair, I. Thomson, Exploration Geochemistry: Design and Interpretation of Soil Surveys Society of Economic Geologists. ,vol. 3, ,(1986) , 10.5382/REV.03
Robert G. Garnett, Applications of Probability Graphs in Mineral Exploration Geoscience Canada. ,vol. 4, ,(1977)
G. J. S. Govett, W. D. Goodfellow, R. P. Chapman, C. Y. Chork, Exploration geochemistry—Distribution of elements and recognition of anomalies Journal of the International Association for Mathematical Geology. ,vol. 7, pp. 415- 446 ,(1975) , 10.1007/BF02080498
A.T. Miesch, Estimation of the geochemical threshold and its statistical significance Journal of Geochemical Exploration. ,vol. 16, pp. 49- 76 ,(1981) , 10.1016/0375-6742(81)90125-4
D.M Shaw, Element distribution laws in geochemistry Geochimica et Cosmochimica Acta. ,vol. 23, pp. 116- 134 ,(1961) , 10.1016/0016-7037(61)90091-6
Clifford R. Stanley, Alastair J. Sinclair, Comparison of probability plots and the gap statistic in the selection of thresholds for exploration geochemistry data Journal of Geochemical Exploration. ,vol. 32, pp. 355- 357 ,(1989) , 10.1016/0375-6742(89)90076-9
A. G. Journel, Nonparametric estimation of spatial distributions Journal of the International Association for Mathematical Geology. ,vol. 15, pp. 445- 468 ,(1983) , 10.1007/BF01031292
A.J. Sinclair, Selection of threshold values in geochemical data using probability graphs Journal of Geochemical Exploration. ,vol. 3, pp. 129- 149 ,(1974) , 10.1016/0375-6742(74)90030-2
Fred F. Langford, A method to evaluate the probability of success of a geochemical survey Economic Geology. ,vol. 60, pp. 360- 372 ,(1965) , 10.2113/GSECONGEO.60.2.360