Open Data for web-mapping the dynamic of population of Uzbekistan

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About the Authors

Lola X. Gulyamova

Tashkent State Technical University,
Universitetskaya str. 2, 10074, Tashkent, Uzbekistan;

Dilshod N. Rakhmonov

National Unversity of Uzbekistan,
Universitetskaya str. 4, 10074, Tashkent, Uzbekistan;


This paper covers issues related to using Open Data for web mapping of the dynamic of population of Uzbekistan. Several ways are suggested for performing an analysis of patterns of dynamic of population. The web mapping is recommended as the preferable way for study the spatial distribution of the population and its change. The methods are described from the perspective of their relevance to the technical and conceptual development of interactive dynamic maps. The Open sources that are maintained by state agencies, committees, private companies and other institutions are used for web mapping. The peculiarities of development of Open Data in this country are analyzed with the purpose of applying geoinformation technologies for capturing geospatial information (GI). The model has been developed for using web mapping tools for combining ICT, GIS, interactive cartography and socio-economic data for retrieving GI from existing open resources. Some tools are suggested to bring together Open Data of different official sources by means of Geographical Information Systems. The model of web service is used for uploading map data to a cloud account, while cloud service handles all server-side. ArcGIS Online and other open software are applied for interactive mapping. The interaction with datasets for online mapping and spatial analysis is performed with the help of the cloud service of ArcGIS Online.


open data, web mapping, population, dynamics, Uzbekistan.


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For citation: Gulyamova L.X., Rakhmonov D.N. Open Data for web-mapping the dynamic of population of Uzbekistan InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2021. V. 27. Part 4. P. 388–401. DOI: 10.35595/2414-9179-2021-4-27-388-401