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.
| Mualliflar | Kamilova , Sanobar, Камилова , Санобар, Kamilova , Sanobar |
|---|---|
| Jurnal | Иқтисодий тараққиёт ва таҳлил |
| Nashriyot | Ўзбекистон иқтисодиётини ривожлантиришнинг илмий-тадқиқот маркази |
| ISSN | 2992-877X |
| Nashr sanasi | 2026-02-27 |
| Jild | 4 |
| Son | 2 |
| Betlar | 99-108 |
| Til | Ingliz |
| Ilmiy soha | Iqtisodiyot |
| DOI | 10.60078/2992-877x-2026-vol4-iss2-pp99-108 |
| Indeksga qo‘shilgan | 2026-08-27 |
DOI: 10.60078/2992-877x-2026-vol4-iss2-pp99-108 · Maqolaning asl sahifasi
GIS, geographic information system, spatial population distribution, urbanization, demographic forecasting, geospatial analysis, urban development modeling, ГИС, географическая информационная система, пространственное распределение населения, урбанизация, демографический прогноз, геопространственный анализ, моделирование городского развития, GIS, geografik axborot tizimi, aholining fazoviy taqsimoti, urbanizatsiya, demografik prognoz, geofazoviy tahlil, shahar rivojlanishini modellashtirish
| APA | Kamilova , Sanobar, Камилова , Санобар, & Kamilova , Sanobar (2026). MODELING AND FORECASTING THE GEOGRAPHICAL DISTRIBUTION OF THE URBAN POPULATION BASED ON GIS. Иқтисодий тараққиёт ва таҳлил, 4(2), 99-108. https://doi.org/10.60078/2992-877x-2026-vol4-iss2-pp99-108 |
|---|---|
| GOST (OAK) | Kamilova , Sanobar, Камилова , Санобар, Kamilova , Sanobar MODELING AND FORECASTING THE GEOGRAPHICAL DISTRIBUTION OF THE URBAN POPULATION BASED ON GIS // Иқтисодий тараққиёт ва таҳлил. – 2026. – T. 4, № 2. – P. 99-108. – DOI: 10.60078/2992-877x-2026-vol4-iss2-pp99-108. |
| MLA | Kamilova , Sanobar, Камилова , Санобар, and Kamilova , Sanobar. “MODELING AND FORECASTING THE GEOGRAPHICAL DISTRIBUTION OF THE URBAN POPULATION BASED ON GIS.” Иқтисодий тараққиёт ва таҳлил, 4(2), 99-108, 2026. https://doi.org/10.60078/2992-877x-2026-vol4-iss2-pp99-108 |
| Chicago | Kamilova , Sanobar, Камилова , Санобар, and Kamilova , Sanobar. “MODELING AND FORECASTING THE GEOGRAPHICAL DISTRIBUTION OF THE URBAN POPULATION BASED ON GIS.” Иқтисодий тараққиёт ва таҳлил, 4(2), 99-108 (2026). https://doi.org/10.60078/2992-877x-2026-vol4-iss2-pp99-108 |
| Harvard | Kamilova , Sanobar, Камилова , Санобар, and Kamilova , Sanobar (2026) ‘MODELING AND FORECASTING THE GEOGRAPHICAL DISTRIBUTION OF THE URBAN POPULATION BASED ON GIS’, Иқтисодий тараққиёт ва таҳлил, 4(2), 99-108. https://doi.org/10.60078/2992-877x-2026-vol4-iss2-pp99-108 |
| BibTeX | @article{kamilovasanobar2026,
title = {MODELING AND FORECASTING THE GEOGRAPHICAL DISTRIBUTION OF THE URBAN POPULATION BASED ON GIS},
author = {Kamilova , Sanobar and Камилова , Санобар and Kamilova , Sanobar},
journal = {Иқтисодий тараққиёт ва таҳлил},
year = {2026},
volume = {4},
number = {2},
pages = {99-108},
doi = {10.60078/2992-877x-2026-vol4-iss2-pp99-108},
url = {https://doi.org/10.60078/2992-877x-2026-vol4-iss2-pp99-108}
} |
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