Reference Type | Journal (article/letter/editorial) |
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Title | Exploration implications of production and location data for Ag-rich vein deposits, Trout Lake mining camp, southeastern B.C. |
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Journal | Canadian Journal of Earth Sciences |
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Authors | Goldsmith, L. B. | Author |
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Sinclair, A. J. | Author |
Read, P. B. | Author |
Year | 1986 (October 1) | Volume | 23 |
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Issue | 10 |
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Publisher | Canadian Science Publishing |
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DOI | doi:10.1139/e86-152Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 478877 | Long-form Identifier | mindat:1:5:478877:9 |
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GUID | 0 |
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Full Reference | Goldsmith, L. B., Sinclair, A. J., Read, P. B. (1986) Exploration implications of production and location data for Ag-rich vein deposits, Trout Lake mining camp, southeastern B.C. Canadian Journal of Earth Sciences, 23 (10) 1627-1640 doi:10.1139/e86-152 |
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Plain Text | Goldsmith, L. B., Sinclair, A. J., Read, P. B. (1986) Exploration implications of production and location data for Ag-rich vein deposits, Trout Lake mining camp, southeastern B.C. Canadian Journal of Earth Sciences, 23 (10) 1627-1640 doi:10.1139/e86-152 |
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In | (1986, October) Canadian Journal of Earth Sciences Vol. 23 (10) Canadian Science Publishing |
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Abstract/Notes | Ore tonnage production data from 43 former producers in the Trout Lake mining camp are examined using plots of spatial density of deposits and statistical methods. Outlines of mineral belts are established from spatial density with the 0.5 deposit per 4 km2 contour. Probability plots of ore tonnages distinguish two lognormal populations of deposits. Probablity plots of metal grades show four lognormal populations of silver and two of gold. A metal content versus ore tonnage graph draws attention to the similarity in proportions of metals produced from high-tonnage and from medium- + low-tonnage deposits. Triangular graphs of metal contents emphasize the direct relationship between silver and lead; metal ratios suggest some relationships that may be dependent upon host rocks. Linear correlation coefficients of tonnage and metal content show an inverse relationship between tonnage and precious metals and a direct relationship between silver and lead. Multiple regression models established between production tonnages and average grades can estimate deposit size within one order of magnitude.Systematic evaluation of quantitative production and location data can augment exploration decisions. |
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