Mapping of socio-economic characteristics of Moscow based on OKVED data

DOI: 10.35595/2414-9179-2025-3-31-363-379

View or download the article (Rus)

About the Authors

Elena A. Prokhorova

Lomonosov Moscow State University, Faculty of Geography,
1, Leninskie Gory, Moscow, 119991, Russia,
E-mail: eaprohorova@mail.ru

Viktoria I. Kornienko

Lomonosov Moscow State University, Faculty of Geography,
1, Leninskie Gory, Moscow, 119991, Russia,
E-mail: kremavik@gmail.com

Vladimir N. Semin

Lomonosov Moscow State University, Faculty of Geography,
1, Leninskie Gory, Moscow, 119991, Russia,
E-mail: vnsemin@mail.ru

Abstract

The article is devoted to the study of the spatial distribution of Moscow enterprises using the All-Russian Classifier of Economic Activities (OKVED), modeling the urban environment and its cartographic interpretation to identify patterns of development of city districts. Therefore, in the study, for ease of presentation on the map and subsequent analysis, all available OKVED sections (21) were grouped into 13 groups by areas of activity, which made it possible to identify production-territorial combinations of different types. According to Rosstat data, more than 980 thous. enterprises are registered in Moscow, but the study used a sample that contains 183 797 enterprises with more than 10 employees. Visualization of the obtained data using spatial analysis and clustering methods made it possible to detect zones of enterprise concentration, their relationship with population density. 11 series of maps were created, where each of them displays enterprises and their characteristics in accordance with the previously identified OKVED groups. A detailed and comprehensive analysis was performed for each series of maps. Visualization of the spatial distribution of enterprises made it possible to trace the patterns of their placement and created the basis for further analysis of the industrial structure of the city. Based on these cartographic materials, clustering was performed according to 5 production-territorial combinations of social orientation. As a result, zoning of the city by the level of social security is presented, where clusters with different degrees of infrastructure development are identified: from the most prosperous to problematic.

Keywords

data visualization, clustering, All-Russian Classifier of Economic Activities (OKVED), spatial distribution of enterprises

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For citation: Prokhorova E.A., Kornienko V.I., Semin V.N. Mapping of socio-economic characteristics of Moscow based on OKVED data. InterCarto. InterGIS. Moscow: MSU, Faculty of Geography, 2025. V. 31. Part 3. P. 363–379. DOI: 10.35595/2414-9179-2025-3-31-363-379 (in Russian)