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[HTML][HTML] GIS-based mineral prospectivity map** using machine learning methods: A case study from Tongling ore district, eastern China
T Sun, F Chen, L Zhong, W Liu, Y Wang - Ore Geology Reviews, 2019 - Elsevier
Predictive modelling of mineral prospectivity using GIS is a valid and progressively more
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …
accepted tool for delineating reproducible mineral exploration targets. In this study, machine …
Fractal/multifractal modeling of geochemical data: A review
Over the past several decades, a wide range of complex structures or phenomena of interest
to geologists and geochemists has been quantitatively characterized using …
to geologists and geochemists has been quantitatively characterized using …
Recognition of geochemical anomalies using a deep autoencoder network
Y **
Complexities of geological processes portrayed as certain feature in a map (eg, faults) are
natural sources of uncertainties in decision-making for exploration of mineral deposits …
natural sources of uncertainties in decision-making for exploration of mineral deposits …
Singularity theory and methods for map** geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areas
Q Cheng - Journal of Geochemical Exploration, 2012 - Elsevier
In this paper, it is shown that recently developed nonlinear singularity theory and methods
can be used to recognize weak but complex geo-anomalies for the prediction of the …
can be used to recognize weak but complex geo-anomalies for the prediction of the …
Big data analytics of identifying geochemical anomalies supported by machine learning methods
Big data analytics brings a novel way for identifying geochemical anomalies in mineral
exploration because it involves processing of the whole geochemical dataset to reveal …
exploration because it involves processing of the whole geochemical dataset to reveal …
Identifying geochemical anomalies associated with Cu and Pb–Zn skarn mineralization using principal component analysis and spectrum–area fractal modeling in the …
R Zuo - Journal of Geochemical Exploration, 2011 - Elsevier
The Gangdese Belt is now recognized as an important Cu polymetallic mineralization belt.
Recent studies suggest that apart from porphyry copper deposits, polymetallic skarn …
Recent studies suggest that apart from porphyry copper deposits, polymetallic skarn …
Spatial analysis and visualization of exploration geochemical data
This paper briefly reviews the application of geoinformatics in exploration geochemistry from
the perspective of spatial analysis and visualization, and demonstrates the advantages of …
the perspective of spatial analysis and visualization, and demonstrates the advantages of …