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FORMATION OF THE FEATURE SPACE AFFECTING THE LEVEL OF URBANIZATION USING PRINCIPAL COMPONENT ANALYSIS
Maqola haqida umumiy ma'lumotlar
This article is dedicated to studying the factors influencing the level of urbanization using the example of Samarkand region. The study analyzed 96 socio-economic, demographic, and infrastructural indicators for the period 2000-2022. Using the Principal Component Analysis (PCA) method, these factors were reduced to 25 main components. The results identified that economic development, demographic changes, and social infrastructure have the strongest impact on the urbanization process. The article emphasizes the need for a comprehensive approach to effectively manage urbanization processes in Samarkand region. The research findings have not only scientific but also practical significance and can be applied in developing urban development strategies.
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Ismailov, I. T., & Ermamatova, S. E. (2024). FORMATION OF THE FEATURE SPACE AFFECTING THE LEVEL OF URBANIZATION USING PRINCIPAL COMPONENT ANALYSIS. Academic Research in Educational Sciences, 5(10), 212–219. https://doi.org/
Ismailov, Ilxom, and Shoxsanam Ermamatova,. “FORMATION OF THE FEATURE SPACE AFFECTING THE LEVEL OF URBANIZATION USING PRINCIPAL COMPONENT ANALYSIS.” Academic Research in Educational Sciences, vol. 10, no. 5, 2024, pp. 212–219, https://doi.org/.
Ismailov, T. and Ermamatova, E. 2024. FORMATION OF THE FEATURE SPACE AFFECTING THE LEVEL OF URBANIZATION USING PRINCIPAL COMPONENT ANALYSIS. Academic Research in Educational Sciences. 10(5), pp.212–219.