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SPATIAL DATA INTEGRATION: CONVERSION OF BAD SPATIAL DATA TO IMPORTANT RESOURCE FOR DEVELOPMENT
Grishin P.N., Kazantsev N.N., Kholina V.N., Kreidenko T.F.
SPATIAL DATA INTEGRATION: CONVERSION OF BAD SPATIAL DATA TO IMPORTANT RESOURCE FOR DEVELOPMENT
Systems of reaction-Diffusion equations with spatially distributed hysteresis
Gurevich P., Tikhomirov S.
thresholds and the spatial profile of the initial data. © 2014, (publisher). All rights reserved.
Reaction-diffusion equations with spatially distributed hysteresis
Gurevich P., Shamin R., Tikhomirov S.
in the source term, which is defined at each spatial point. In particular, such problems describe chemical
Does digitalization reduce electricity consumption? Evidence from spatial analysis
Larionova N., Varlamova J., Kolesnikova J.
in electrical energy consumption. It is shown that spatial effects in the level of electricity consumption among
The youth unemployment in Russia: Convergence and spatial analysis
Inozemtsev E., Bagautdinova N., Yashin N.
. The analysis based on the panel data for 55 Russian regions in 2002-2013, using four variants of spatial weight
Predictive Mapping of Organic Carbon Content in Soils of Russia Using Ensemble Machine Learning
Chinilin A., Savin I.
-term averaged time series of MODIS data. The results of spatial cross-validation show lower (when compared
ESTIMATION OF ORGANIC CARBON CONTENT IN RUSSIAN SOILS USING ENSEMBLE MACHINE LEARNING; [ОЦЕНКА СОДЕРЖАНИЯ ОРГАНИЧЕСКОГО УГЛЕРОДА В ПОЧВАХ ШССИИ С ПОМОЩЬЮ АНСАМБЛЕВОГО МАШИННОГО ОБУЧЕНИ]
Chinilin A.V., Savin I.Yu.
-30, 30-60, 60-100 cm) for the territory of the Russian Federation with 500 m spatial resolution using
ИНДЕКС ПРОСТРАНСТВЕННОЙ ЗАВИСИМОСТИ: МЕТОДОЛОГИЯ ОЦЕНКИ ЭФФЕКТА СОСЕДСТВА В СОЦИАЛЬНЫХ НАУКАХ
Окунев И.Ю., Тисленко М.И.
tools based on spatial econometrics. The authors started with analyzing the spatial distribution of two
The youth unemployment in Russia: Convergence and spatial analysis
Inozemtsev E., Bagautdinova N., Yashin N.
. The analysis based on the panel data for 55 Russian regions in 2002-2013, using four variants of spatial weight
Labor Productivity in the Digital Era: A Spatial-Temporal Analysis
Varlamova J., Larionova N.
into account two dimensions: temporal and spatial. We investigated the impact of organizations’ use of ICT

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