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Improving the resource modeling results using auxiliary variables in estimation and simulation methods
Department of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Institute of Geophysics, University of Tehran, Tehran, Iran.
Department of Mining, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Geosciences and Environmental Engineering.ORCID iD: 0000-0002-5600-5375
2024 (English)In: Earth Science Informatics, ISSN 1865-0473, Vol. 17, no 5, p. 4161-4181Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 17, no 5, p. 4161-4181
Keywords [en]
Auxiliary variables, Cokriging, Co-simulation, Iron mineralization, Magnetic susceptibility, Resource modeling
National Category
Probability Theory and Statistics Metallurgy and Metallic Materials
Research subject
Applied Geophysics
Identifiers
URN: urn:nbn:se:ltu:diva-108314DOI: 10.1007/s12145-024-01383-7ISI: 001257464300001Scopus ID: 2-s2.0-85197422994OAI: oai:DiVA.org:ltu-108314DiVA, id: diva2:1883155
Note

Validerad;2024;Nivå 2;2024-11-11 (joosat);

Available from: 2024-07-09 Created: 2024-07-09 Last updated: 2025-10-21Bibliographically approved

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Smirnov, Maxim Y.

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