MODELING AND FORECASTING THE GEOGRAPHICAL DISTRIBUTION OF THE URBAN POPULATION BASED ON GIS

Authors

  • Scientific Research Center "Scientific Foundations and Problems of the Development of the Economy of Uzbekistan" under Tashkent State University of Economics
    https://orcid.org/0009-0005-1764-2944

DOI:

https://doi.org/10.60078/2992-877X-2026-vol4-iss2-pp99-108

Abstract

This article examines the modeling and forecasting of urban population spatial distribution based on Geographic Information Systems (GIS) technologies. The study conducted geospatial analysis of population density, urbanization processes, and demographic changes using Tashkent city as a case study. Population spatial distribution forecasting models were developed using modern GIS software - ArcGIS, QGIS, and Python libraries. As a result, a forecast of geographic distribution of urban population for 2025-2035 has been prepared and practical recommendations for urban planning have been developed.

Keywords:

GIS geographic information system spatial population distribution urbanization demographic forecasting geospatial analysis urban development modeling

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How to Cite

Kamilova , S. (2026). MODELING AND FORECASTING THE GEOGRAPHICAL DISTRIBUTION OF THE URBAN POPULATION BASED ON GIS . Economic Development and Analysis, 4(2), 99-108. https://doi.org/10.60078/2992-877X-2026-vol4-iss2-pp99-108

Issue

Vol. 4 No. 2 : Economic Development and Analysis

Section

Articles

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