Application of the permutation method to the assessment of predictive ability of the models of spatial distribution of copper and iron concentrations in the topsoil

№2 (2022) Sergeev A.P., Butorova A.S., Shichkin A.V., Buevich A.G., Baglaeva E.M., Subbotina I.E. УДК 504.064.2.001.18 https://doi.org/10.47148/1609-364X-2022-2-42-53 Key words: permutation method, randomization, predicted values, observed values, spatial distribution, predictive ability assessment, artificial neural networks Section: Modeling geo objects and geo-processes

GEW personal account: software and technological environment for storing, processing and providing results of regional geological-geophysical and geological surveying works on regional study of subsoil and reproduction of mineral resource base of hydrocarbon raw materials

№3 (2021) УДК 553.98+004.9 DOI: 10.47148/1609-364X-2021-3-55-62 A.A. Koneva, K.A. Koneva, K.N. Markov, A.A. Suleimanov Key words: information system; GEW personal account; Unified Bank of Geological and Geophysical Information of VNIGNI; MGS-Framework; software and technological complex for subsoil geological study and … Continue reading

Geoinformation modeling of sand injectites

№3 (2024) Nikashin K.I., Zorina S.O. УДК 004.94 https://doi.org/10.47148/1609-364X-2024-3-37-44 Key words: geoinformation modeling; sand injectite; quartz sands; mineral resources Section: Modeling geo objects and geo-processes