[HTML][HTML] Detection of mineralization stages using zonality and multifractal modeling based on geological and geochemical data in the Au-(Cu) intrusion-related Gouzal …

SM Heidari, P Afzal, M Ghaderi, B Sadeghi - Ore Geology Reviews, 2021 - Elsevier
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) …

[HTML][HTML] Chatterjee correlation coefficient: a robust alternative for classic correlation methods in geochemical studies-(including “TripleCpy” Python package)

B Sadeghi - Ore Geology Reviews, 2022 - Elsevier
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' …

Visualization and interpretation of geochemical exploration data using GIS and machine learning methods

R Zuo, J Wang, B Yin - Applied Geochemistry, 2021 - Elsevier
Geochemical exploration has provided significant clues for mineral exploration and has
helped discover many mineral deposits. Although various methods, including classic …

Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration …

S Esmaeiloghli, SH Tabatabaei… - Journal of Geochemical …, 2023 - Elsevier
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) …

Category-based fractal modelling: A novel model to integrate the geology into the data for more effective processing and interpretation

B Sadeghi, DR Cohen - Journal of Geochemical Exploration, 2021 - Elsevier
Parent lithology exerts a major influence on the associated regolith geochemistry and affects
the setting of population or domain boundaries. In regional geochemical mapping and …

[HTML][HTML] How to choose a proper representation of compositional data for mineral exploration?

B Sadeghi, H Molayemat… - Journal of Geochemical …, 2024 - Elsevier
Regional mineral exploration is based on geochemical data of which the nature is
compositional and frequently involves a large number of components. Consequently, it …

Multivariate statistical analysis and bespoke deviation network modeling for geochemical anomaly detection of rare earth elements

Z Luo, E Farahbakhsh, RD Müller, R Zuo - Applied Geochemistry, 2024 - Elsevier
Rare earth elements (REEs), a significant subset of critical minerals, play an indispensable
role in modern society and are regarded as “industrial vitamins,” making them crucial for …

Geochemical data mining by integrated multivariate component data analysis: The Heilongjiang Duobaoshan area (China) case study

Z Zhao, K Qiao, Y Liu, J Chen, C Li - Minerals, 2022 - mdpi.com
The Heilongjiang Duobaoshan area is located at the confluence of the Great Xing'an Range
and the Lesser Xing'an Range, and the area has undergone a complex magmatic and …

Spatial mapping of groundwater potentiality applying geometric average and fractal models: A sustainable approach

FZ Echogdali, S Boutaleb, M Abioui, M Aadraoui… - Water, 2023 - mdpi.com
Water scarcity affects all continents, with approximately 1.2 billion people living in areas
where water is physically lacking. This scarcity is more accentuated in countries with an arid …

Delineation of supergene enrichment, hypogene and oxidation zones utilizing staged factor analysis and fractal modeling in Takht-e-Gonbad porphyry deposit, SE …

P Afzal, ME Tehrani, M Ghaderi, MR Hosseini - Journal of Geochemical …, 2016 - Elsevier
The aim of this study is to delineate the different mineralized zones consisting of supergene
enrichment hypogene and oxidation zones in Takht-e-Gonbad porphyry Cu deposit (SE …