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Geochemical and mineralogical maps, with interpretation, for soils of the conterminous United States [研究报告]
10.3133/sir20175118U.S. Geological Survey. 2019-01-01
Smith, David B. dsmith@usgs.gov;  Solano, Federico fsolanoc@usgs.gov;  Woodruff, Laurel G. woodruff@usgs.gov;  Cannon, William F. wcannon@usgs.gov;  Ellefsen, Karl J. ellefsen@usgs.gov
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Effect of size-biased sampling on resource predictions from the three-part method for quantitative mineral resource assessment—A case study of the gold mines in the Timmins-Kirkland Lake area of the Abitibi greenstone belt, Canada: [研究报告]
10.3133/sir20185149U.S. Geological Survey. 2019-01-01
Ellefsen, Karl J. ellefsen@usgs.gov
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Titanium mineral resources in heavy-mineral sands in the Atlantic coastal plain of the southeastern United States [研究报告]
10.3133/sir20185045U.S. Geological Survey. 2018-01-01
Van Gosen, Bradley S. bvangose@usgs.gov;  Ellefsen, Karl J. ellefsen@usgs.gov
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Probability calculations for three-part mineral resource assessments [研究报告]
10.3133/tm7C15U.S. Geological Survey. 2017-01-01
Ellefsen, Karl J. ellefsen@usgs.gov
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User’s guide for MapMark4—An R package for the probability calculations in three-part mineral resource assessments [研究报告]
10.3133/tm7C14U.S. Geological Survey. 2017-01-01
Ellefsen, Karl J. ellefsen@usgs.gov
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Feasibility study for the quantitative assessment of mineral resources in asteroids [研究报告]
10.3133/ofr20171041U.S. Geological Survey. 2017-01-01
Keszthelyi, Laszlo P. laz@usgs.gov;  Hagerty, Justin J. jhagerty@usgs.gov;  Bowers, Amanda;  Ellefsen, Karl J. ellefsen@usgs.gov;  King, Trude;  Moskovitz, Nicholas;  Ridley, Ian;  Trilling, David;  Grundy, Will
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User’s guide for GcClust—An R package for clustering of regional geochemical data [研究报告]
10.3133/tm7C13U.S. Geological Survey. 2016-01-01
Ellefsen, Karl J. ellefsen@usgs.gov;  Smith, David B. dsmith@usgs.gov
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