The special issue entitled “Developments in Quantitative Assessment and Modeling of Mineral Resource Potential” is composed 17 papers that cover a diverse range approaches to mineral resource assessment, including mainly multivariate statistical analysis, fractal multifractal modeling, geostatistical machine learning, mathematical morphology 3D exploration. This introductory article first provi...

This paper describes the application of a well-known Multi Criteria Decision Making (MCDM) technique called Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE II) to explore porphyry copper deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-datasets are integrated to prepare a mineral prospectivity mapping (MPM). In a...

singularity based on fractal and multifractal is a technique for detection of depletion and enrichment for geochemical exploration, while the index of vertical geochemical zonality (vz) of pb.zn/cu.ag is a practical method for exploration of blind porphyry copper mineralization. in this study, these methods are combined for recognition, delineation, and enrichment of vz in jebal- barez in the s...

Selecting internal hyperparameters, which can be set by the automatic search algorithm, is important to improve generalization performance of machine learning models. In this study, geological, remote sensing and geochemical data Lalingzaohuo area in Qinghai province were researched. A multi-source metallogenic information spatial was constructed calculating Youden index for selecting potential...

Mineral Prospectivity Mapping (MPM) is shifting toward intelligent deep mineralization searches in the era of big data and increasing difficulties surface deposit detection. Comparative analysis two forms prediction based on Apriori algorithm was performed Meiling South mining area eastern Hami region Xinjiang, China. In comparison 1, we use to mine ore-forming information determine voxel posit...