The processing methods of geochemical exploration data: past, present, and future

R Zuo, J Wang, Y ** exploration targets
M Parsa, A Maghsoudi, M Yousefi… - Journal of African Earth …, 2017 - Elsevier
The spectrum–area (S–A) fractal model is a powerful tool for decomposition of complex
anomaly patterns of gridded geochemical data. Ordinary moving average interpolation …

Performance evaluation of RBF-and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of SA multifractal model and …

R Ghezelbash, A Maghsoudi, EJM Carranza - Earth Science Informatics, 2019 - Springer
Definition of the efficient ore-forming processes, which are considered as mineralization
controls is a fundamental stage in mineral prospectivity modeling. In this contribution, four …

Identifying geochemical anomalies associated with Au–Cu mineralization using multifractal and artificial neural network models in the Ningqiang district, Shaanxi …

J Zhao, S Chen, R Zuo - Journal of Geochemical Exploration, 2016 - Elsevier
The Ningqiang district, which is located in the northwestern margin of the Yangtze Platform,
contains the richest supply of Cu and Au mineral resources in Shaanxi Province, China. The …

Concentration-concentration fractal modelling: a novel insight for correlation between variables in response to changes in the underlying controlling geological …

B Sadeghi - Ore Geology Reviews, 2021 - Elsevier
Fractal/multifractal classification models applied to regional geochemical data are typically
based on relationships between geochemical concentrations and mathematical, statistical or …

[HTML][HTML] Model averaging for identification of geochemical anomalies linked to mineralization

J Wang, R Zuo - Ore Geology Reviews, 2022 - Elsevier
The complexity of geochemical patterns in the surficial media makes it necessary to consider
the uncertainty in the process of identifying geochemical anomalies. The existence of …