Assessment of Economic and Geographical Position of Cities and Regions Using Geospatial Artifi cial Intelligence

Abstract

The purpose is to build a geospatial artifi cial intelligence system to assess the economic-geographical position and to test this system in determining the position of regions in the modern grid of administrative-territorial division of the Russian Federation and the position of urban settlements of the Irkutsk region in the future network of Tactile Internet. Materials and methods. The political map of Russia, Rosstat data on the population and information on telecommunication lines of the Irkutsk region (as of January 1, 2024) were used. Data mining algorithms, a method for assessing the neighborhood situation and a method for calculating the delay in data transmission between settlements were used. Results and discussion. Geospatial artifi cial intelligence systems have been created to assess the position of the region in the grid of the administrative-territorial division of the country and the position of the city in the Tactile Internet network. A quantitative assessment of the neighborhood situation of 89 regions of Russia was obtained using two coeffi cients of importance of remote neighbors. The internet-tactile position (in terms of the number of potential subscribers) of urban settlements in the Irkutsk Region has been determined. Conclusions. The developed systems allow real-time analysis of two particular types of economic-geographical position. To create an integrated assessment system for all types of economic-geographical position of territorial objects, it will be necessary to move from the existing paradigm of artifi cial narrow intelligence to the paradigm of artifi cial general intelligence.