UDC 528.94
CSCSTI 36.33
The article deals with methodological issues of geoinformation modeling of social space (SS) on the example of the city of Tashkent. The purpose of the study is based on a geospatial approach that allows spatial analysis, assessment and geoinformation modeling of the SS. Research objectives include: 1. Establish the leading factors that determine the properties of the SS. 2. Develop a cartographic model of SS. The paper used materials for the study: 1. Data from official statistics of the "Open Data" section on the portal of the Government of the Republic of Uzbekistan. 2. Cartographic materials of the city of Tashkent (including electronic maps). 3. Remote sensing materials posted on the Google Earth Pro portal. 4. Materials of outsourcing OpenStreetMap. 5. Housing rental data obtained from sociological surveys and data from official sources and social networks. The methods of regression analysis, field theory and graphs were used to obtain the following parameters of the SS score. Results of the study: 1. The regularities of the territorial distribution of the main factors determining the SS were examined. 2. The characteristic features of the SS that are amenable to geoinformation modeling have been identified. 3. For the first time, a map for assessing the joint venture of the city of Tashkent has been compiled. 4. A 3-point scale has been adopted, taking into account the main factors: 1. Connectivity of individual zones of the joint venture. 2. Transport security. 3. Demographic component. The results obtained can serve as a basis for improving urban planning methods to improve SS. The identified patterns of territorial distribution of the main factors make it possible to solve the problems of improving the quality of SS and developing plans for the development of urban infrastructure.
social space, geoinformation modelling, spatial assessment
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