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

№1 (2019)

«Metallogeny» geoportal.Tkachev A.V., Bulov S.V., Chesalova E.I. … » The «Metallogeny» geoportal is a key element of a spatial data infrastructure node being created in Vernadsky’s SGM RAS. Currently, the geoportal provides an organized access to a metadata catalog, interactive … Continue reading

№4 (2019)

Optimization of the initial data division for prediction chromium spatial distribution by a feedforward neural network.Buevich A.G., Sergeev A.P., Rakhmatova A.Yu., Baglaeva E.M., Shichkin A.V., Subbotina I.E., Sergeeva M.V., Markelov Yu.I. … » The article proposes an approach to optimize … Continue reading