Abstract The Nanling Range in South China is endowed with abundant W-Sn and other
important rare metal resources associated with granitic intrusions, but the rate of new major …

In mineral prospectivity mapping, limitations in the density of geochemical sampling that can
be collected across a region may generate the need for interpolation of data between …

Prediction of geochemical concentration values is essential in mineral exploration as it plays
a principal role in the economic section. In this paper, four regression machine learning (ML) …

Geochemical anomaly patterns for metal exploration targeting usually reveal non-stationarity
due mainly to the non-linear synthesis of ore-forming processes. The spectrum–area (S–A) …

Remote sensing satellite imagery consistently provides valuable and frequent information,
enabling the exploration of mineral resources across immense, remote and harsh domains …

The special issue entitled “Developments in Quantitative Assessment and Modeling of
Mineral Resource Potential” is composed of 17 papers that cover a diverse range of …

The objective of this paper is to detect various gold and copper mineralization stages
according to surface lithogeochemical data utilizing zonality index and spectrum-area (SA) …

The Kushaka greenschist belt is one of Nigeria's known gold mineralized belts. This study
used geological information from geophysical, remote sensing, surface geology, and …

Regional mineral exploration is based on geochemical data of which the nature is
compositional and frequently involves a large number of components. Consequently, it …

Correlation coefficients (CC) are statistical tools that measure how strong a relationship is
between two variables. In geochemical studies, these variables could be different elements' …