Abstract

Mathematical modeling procedures were used to investigate the Butte, Dillon, Hamilton, and Elk City 2 degrees quadrangles in Idaho and Montana and to evaluate and predict areas for silver exploration. The modeling procedure consisted of digitizing a data base over cells, which were defined over the entire area, and using the data for predicting silver prospects for a maximum of 10 percent of the cells in each quadrangle. These predicted cells were further evaluated and confirmed by comparison with actual mining data and classified into first-, second-, and third-order prospects. Out of a total of 160 cells predicted, 61 were classified as first-order prospects, 76 as second-order prospects, and 23 as third-order prospects. The success and flexibility of the model in the trial area suggest its suitability as a generalizable model with potential to assist in mineral exploration and as a decision-making tool.

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