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Sergeev, A.P., Buevich, A.G., Baglaeva, E.M., Shichkin, A.V. (2019) Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals. CATENA, 174. 425-435 doi:10.1016/j.catena.2018.11.037

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Reference TypeJournal (article/letter/editorial)
TitleCombining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals
JournalCATENA
AuthorsSergeev, A.P.Author
Buevich, A.G.Author
Baglaeva, E.M.Author
Shichkin, A.V.Author
Year2019 (March)Volume174
PublisherElsevier BV
DOIdoi:10.1016/j.catena.2018.11.037Search in ResearchGate
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Mindat Ref. ID16571244Long-form Identifiermindat:1:5:16571244:6
GUID0
Full ReferenceSergeev, A.P., Buevich, A.G., Baglaeva, E.M., Shichkin, A.V. (2019) Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals. CATENA, 174. 425-435 doi:10.1016/j.catena.2018.11.037
Plain TextSergeev, A.P., Buevich, A.G., Baglaeva, E.M., Shichkin, A.V. (2019) Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals. CATENA, 174. 425-435 doi:10.1016/j.catena.2018.11.037
In(2019) CATENA Vol. 174. Elsevier BV

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Baglaeva, E.M., Sergeev, A.P., Shichkin, A.V., Buevich, A.G. (2021) The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil. CATENA, 207. 105699 doi:10.1016/j.catena.2021.105699
Sergeev, Aleksandr, Baglaeva, Elena, Shichkin, Andrey, Buevich, Alexander (2024) The statistical analysis of training data representativeness for artificial neural networks: spatial distribution modelling of heavy metals in topsoil. Earth Science Informatics, 17 (4). doi:10.1007/s12145-024-01352-0
Tarasov, D.A., Buevich, A.G., Sergeev, A.P., Shichkin, A.V. (2018) High variation topsoil pollution forecasting in the Russian Subarctic: Using artificial neural networks combined with residual kriging. Applied Geochemistry, 88. 188-197 doi:10.1016/j.apgeochem.2017.07.007
Baglaeva, Elena M., Sergeev, Aleksandr P., Shichkin, Andrey V., Buevich, Alexander G. (2025) Individual And Pairwise Representativeness Of Sampling Points In Interpolation Tasks Of Heavy Metals Distribution In The Topsoil. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY, 18 (1). doi:10.24057/2071-9388-2025-3240
Baglaeva, E. M., Sergeev, A. P., Shichkin, A. V., Buevich, A. G. (2020) The Effect of Splitting of Raw Data into Training and Test Subsets on the Accuracy of Predicting Spatial Distribution by a Multilayer Perceptron. Mathematical Geosciences, 52 (1). 111-121 doi:10.1007/s11004-019-09813-9
Sergeev, Aleksandr, Butorova, Anastasia, Shichkin, Andrey, Buevich, Alexander, Baglaeva, Elena (2024) Increasing the informativeness of performance assessment of predictive models of heavy metal spatial distributions in the topsoil by permutation approach. Modeling Earth Systems and Environment, 10 (3) 4387-4400 doi:10.1007/s40808-024-02034-y
Sergeev, A. P., Shichkin, A. V., Buevich, A. G., Baglaeva, E. M. (2023) Counter-prediction approach to predict the missing values of a spatial series on the example of the dustiness in the snow cover. Modeling Earth Systems and Environment, 9 (2) 1523-1530 doi:10.1007/s40808-022-01577-2
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