Conference Proceedings - World Mining Congress 2026

169 ACKNOWLEDGEMENTS The author gratefully acknowledges Dr. Fabian Kohlmann (Lithodat Pty Ltd) and the Geological Survey of Saudi Arabia for their generous provision of the datasets employed in this work. REFERENCES Caers, J.K., (2011). Modeling Uncertainty in Earth Sciences. Wiley. Chile`s, J.P., Delfiner, P., (2012). Geostatistics: Modeling Spatial Uncertainty, 2nd ed John Wiley. Groves, D.I., Santosh, M., (2015). Province-scale commonalities of some world-class gold deposits: Implications for mineral exploration. Geoscience Frontiers. 6(3), 389-399. Sadeghi, B., Cohen, D., (2023). Decision-making within geochemical exploration data based on spatial uncertainty- A new insight and a futuristic review. Ore Geology Reviews. 161, 105660. Sadeghi, B., (2024). Fractals and Multifractals in the Geosciences. ELSEVIER, 302 p. Sadeghi, B., (2025). Clustering in Geo-Data Science: Navigating Uncertainty to Select the Most Reliable Method. Ore Geology Reviews. 181C, 106591. Sadeghi, B., Grunsky, E., Pawlowsky-Glahn, V., (2023). Uncertainty Quantification. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. 1583-1589. Scheidt, C., Caers, J.K., (2009). Representing spatial uncertainty using distances and kernels. Mathematical Geosciences. 41, 397-419.

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