From Predictive Mapping of Mineral Prospectivity to Quantitative Estimation of Number of Undiscovered Prospects

摘要: This paper proposes that the spatial pattern of known prospects deposit-type sought is key to link predictive mapping mineral prospectivity (PMMP) and quantitative resource assessment (QMRA). proposition demonstrated by PMMP for hydrothermal Au-Cu deposits (HACD) estimating number undiscovered HACD in Catanduanes Island (Philippines). The results analyses their associations with geological features are consistent existing knowledge controls on mineralization island elsewhere, used define recognition criteria regional-scale HACD. Integration layers evidence representing via application data-driven evidential belief functions a map prospective areas occupying 20% fitting- prediction-rates 76% 70%, respectively. proxy measure degrees exploration based were one-level prediction endowment, which yielded estimates 79 112 Application radial-density fractal analysis an estimate 113 Thus, study support can be part QMRA if discovered considered both QMRA.