Keywords: territorial development,
sociological monitoring,
municipalities,
population dissatisfaction,
Chelyabinsk region,
vector analysis,
clustering.
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Bobylev, S. N., Zubarevich, N. V., & Solovyeva, S. V. (2015), “Crisis challenges: how to measure sustainable development?”, Voprosy ekonomiki, (1), 147-160, DOI: 10.32609/0042-8736-2015-1-147-160. (In Russian)
Gordeev, S. S., Zyryanov, S. G., & Sitkovskiy, A. M. (2019), “Assessment of quality of life and social priorities for territorial development”, Vestnik Chelyabinskogo gosudarstvennogo universiteta, 11(433), 38-47, DOI: 10.24411/1994-2796-2019-11105. (In Russian)
Zubarevich, N. V. (2018), Sotsialnoe razvitie regionov Rossii: problemy i tendentsii perekhodnogo perioda [Social development of Russian regions: problems and trends of the transition period], Editorial URSS, Moscow. (In Russian)
Lapin, N. I., & Belyaeva, L. A. (2020), Programma i tipovoy instrumentariy “Sotsiokulturny portret regiona Rossii” [Program and standard tools “Sociocultural portrait of the Russian region”], IFRAN, Moscow. (In Russian)
Petukhov, V. V. (2019), “Civic participation in Russia today: interaction of social and political practices”, Sotsiologicheskie issledovaniya, (12), 3-14, DOI: 10.31857/S013216250007743-0. (In Russian)
Rostovskaya, T. K., & Ryazantsev, S. V. (2015), “Socio-demographic characteristics of Russian youth”, Gosudarstvennyy sovetnik, 2(10), 66-75. (In Russian)
Sitkovskiy, A. M. (2021), “Modeling of multi-criteria assessment of socio-ecological-economic state and dynamics of territory”, Voprosy upravleniya, 2(69), 102-119, DOI: 10.22394/2304-3369-2021-2-102-119. (In Russian)
Sitkovskiy, A. M., & Kozlova, O. A. (2023), “The use of vector assessments and grapho-analytical methods in the study of demographic behavior of the population of the region”, Vestnik Nizhegorodskogo universiteta im. N. I. Lobachevskogo. Seriya: Sotsialnye nauki, (3), 44-59, DOI: 10.52452/18115942_2023_3_44. (In Russian)
Tikhonova, N. E. (2014), Sotsialnaya struktura Rossii: teorii i realnost’ [Social structure of Russia: theories and reality], Novyy khronograf, Moscow. (In Russian)
Burch, M., Bott, F., Beck, F., & Diehl, S. (2008), “Cartesian vs. Radial – A Comparative Evaluation of Two Visualization Tools”, Advances in Visual Computing – ISVC 2008. Lecture Notes in Computer Science, 5358, 151-160, DOI: 10.1007/978-3-540-89639-5_15.
Gordeev, S., Zyryanov, S., & Sitkovskiy, A. (2020), “Visualization in models of transformation of social space of the Eurasian macroregion: the example of the Urals”, E3S Web of Conferences, 217, 07021, DOI: 10.1051/e3sconf/202021707021.
Few, S. (2009), Now You See It: Simple Visualization Techniques for Quantitative Analysis, Analytics Press, Oakland, CA.
OECD (2020), How’s Life? 2020: Measuring Well-being, OECD Publishing, Paris, DOI: 10.1787/9870c393-en.
Stiglitz, J., Sen, A., & Fitoussi, J.-P. (2009), Report by the Commission on the Measurement of Economic Performance and Social Progress, Paris.
UNDP Georgia (2022), Citizen Satisfaction Survey with Public Services – Research report, UNDP, Tbilisi.
Waldner, M., Diehl, A., Gracanin, D., et al. (2020), “A Comparison of Radial and Linear Charts for Visualizing Daily Patterns”, IEEE Transactions on Visualization and Computer Graphics, 26(1), 1033-1042, DOI: 10.1109/TVCG.2019.2934784.
Ward, M., Grinstein, G., & Keim, D. (2015), Interactive Data Visualization: Foundations, Techniques, and Applications (2nd ed.), CRC Press, Boca Raton, FL. DOI: 10.1201/b18379.
The study was supported by the Russian Science Foundation Grant No. 25-78-30004 “Digital Demographic Observatory: Development of a System for Monitoring Demographic Processes in Russian Regions Using GIS Technologies and Big Data”, https://rscf.ru/project/25-78-30004/.