Abstract
Resource prediction is necessary for allocation of exploration efforts to keep pace with future demand and the growth pattern of a commodity. Zipf's law, a mathematical relationship between size and rank of discrete phenomena, has been used for resource prediction of oil in Western Canada, uranium, gold, tin, and lead-zinc deposits in Australia, and copper deposits in Zambia. The model, applied to lead-zinc metal accumulation of 24 known “precambrain” deposits in India, indicates that about 75% of the lead-zinc metal is yet to be discovered. The probability of occurrence of 14 deposits of larger dimensions based on the cumulative percentage frequency for different accumulations lies between 5 and 30%. In future exploration, preference should be given to more effort in the Banded Gneissic Complex of Rajasthan in comparison to Aravalilis of Rajasthan, followed by similar environments throughout the country and Palaeozoic strata of the Himalayas.
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