Development of data enhancement and display techniques for stream-sediment data collected in the national uranium resource evaluation program of the United States Department of Energy

Abstract

We spent a substantial amount of time in assembling the data base for this report. These data bases are large in comparison to those most common in scientific computing, and we needed to rearrange the data in an efficient form in order to make our calculations at reasonable costs. 11 SECTION 2. TECHNIQUES OF DATA ANALYSIS In this section, we discuss statistical/cartographic mapping techniques, a study of high uranium values using box plots, methods for basic statistical analyses, and a mineralogical model to calculate residual uranium from original uranium. 2.1 STATISTICAL/CARTOGRAPHIC MAPPING TECHNIQUES TABLE 3.1.1. (Continued) Geologic Type Number of samples Kings Mountain Belt 157 Metamorphic rocks, undifferentiated Granite High Shoals granitic gneiss 15 Charlotte Belt 1088 Undifferentiated Granites, age unknown Granites, 300 M.Y. Granites, 400 M.Y. Metagranites Gabbro, 413 M.Y.

Proceedings of the 31st Forum on the Geology of Industrial Minerals--The Borderland Forum

“…Mapping of surficial geochemical data for states, provinces, and countries during the past decade provides an overview of relative geochemical abundance levels, regional trends, and anomalous patterns (Koch et al, 1979;Darnley, 1990;Bolviken et al, 1990;McMillan et al, 1990;Kerr and Davenport, 1990;Reid, 1993;Birke and Rauch, 1993;Davenport et al, 1993;Simpson et al, 1993;and Xie and Ren, 1993). Surficial geochemical data can be significant in mineral-resource, geological, agricultural, and forestry evaluations and waste-disposal siting.…”