Concept of an integration of open data for socio-economic mapping in Uzbekistan

DOI: 10.35595/2414-9179-2022-1-28-58-68

Посмотреть или загрузить статью (Eng)

Об авторах

Lola X. Gulyamova

Tashkent State Technical University, Department of Mine Surveying and Geodesy,
Universitetskay str 4, 10074 Tashkent, Uzbekistan;
E-mail: lola_gulyam@mail.ru

Dilshod N. Rakhmonov

National University of Uzbekistan, Department of Geodesy and Geoinformatics,
10074, Tashkent, Uzbekistan;
E-mail: dilshod27r@mail.ru

Аннотация

The purpose of the study is the development of a method for integrating non-spatial and geospatial data from different sources for the online dynamic mapping of Uzbekistan at different spatial scales. From the perspective of using open resources in socio-economic cartography, the challenges and perspectives of using online open non-spatial statistical data through the government portal of the Republic of Uzbekistan are considered for web mapping. The method is suggested for building a web-based spatial visualization tool and getting geographic information. In the case when open geospatial data is not available, it is suggested to integrate non-spatial statistical data of open sources into the environment of web mapping. For using new opportunities and tools of geospatial technologies a methodology of using open resources including open datasets, open source software and cloud computing are widely used on all stages of map development. It has been confirmed that this approach represents one of the valuable opportunities for geospatial modelling in developing countries. The benefits of integrating government open non-spatial statistics have been verified through an interactive mapping population at the national, regional, district, and city levels to be effective in addressing policy and governance issues for decision-makers and practitioners.

Ключ. слова

open resources, non-spatial data, geospatial information, social-economic cartography, Uzbekistan

Список литературы

  1. Arnold L.M, McMeekin D.A, Ivánová I, Armstrong K. Knowledge on-demand: a function of the future spatial knowledge infrastructure. Journal of Spatial Science, 2021. V. 66. Issue 3. P. 365–382. DOI: 10.1080/14498596.2019.1654942.
  2. Chen Yan. A practical method to collect data for urban GIS. International Archives of Photogrammetry and Remote Sensing, 2000. V. XXXIII (Supplement B7). Web resource: https://www.isprs.org/proceedings/xxxiii/congress/part7/27_xxxiii-part7s.pdf (accessed 03.01.2022).
  3. Dangermond J., Goodchild M.F. Building geospatial infrastructure. Geo-spatial Information Science, 2020. V. 23. Issue 1. P. 1–9 DOI: 10.1080/10095020.2019.1698274.
  4. Davies T., Walke S., Rubinstein M., Perin F. (Eds.). The State of Open Data: Histories and Horizons. African Minds and International Development Research Centre. Cape Town and Ottawa: African Minds and International Development Research Centre, 2019. Web resource: https://www.idrc.ca/en/book/state-open-data-histories-and-horizons (accessed 02.02.2022).
  5. Duckham M., Arnold L., Armstrong K., McMeekin D., Mottolini D. Towards a Spatial Knowledge Infrastructure. White Paper. Australia and New Zealand Cooperative Research Centre for Spatial Information (CRCSI), 2017. Web resource: https://www.crcsi.com.au/assets/Program-3/CRCSI-Towards-Spatial-Knowledge-Whitepaper-web-May2017.pdf (accessed 02.12.2021).
  6. Fatehkia M., Tingzon I., Orden A., Sy S., Sekara V., Garcia-Herranz M., Weber I. Mapping socioeconomic indicators using social media advertising data. EPJ Data Science, 2020. Web resource: https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00235-w (accessed 15.12.2021).DOI: 10.1140/epjds/s13688-020-00235-w.
  7. Frank A.U. Data Quality Ontology: An Ontology for Imperfect Knowledge. Spatial Information Theory: International Conference on Spatial Information Theory, 2007. P. 406–420. DOI: 10.1007/978-3-540-74788-8_25.
  8. Golubev A., Chechetkin I., Parygin D., Sokolov A., Shcherbakov M. Geospatial Data Generation and Preprocessing Tools for Urban Computing. System Development. Procedia Computer Science, 2016. V. 101. P. 217–226. DOI: 10.1016/j.procs.2016.11.026.
  9. Goodchild M.F., Yuan M., Cova T.J. Towards a general theory of geographic representation in GIS. International Journal of Geographic Information Science, 2007. V. 21. Issue 3. P. 239–260. DOI: 10.1080/13658810600965271.
  10. Goodchild M.F. Assertion and authority: the science of user generated geographic content. Proceedings of the Colloquium for Andrew U. Frank’s 60th Birthday. Geoinfo 39. Department of Geoinformation and Cartography, Vienna University of Technology, 2008. Web resource: https://people.geog.ucsb.edu/~good/papers/454.pdf
  11. Gulyamova L. Geographical Information Systems and Technologies. Tashkent: University, 2018. 188 p. (in Uzbek).
  12. Gulyamova L.X., Rakhmonov D.N. Open Data for web-mapping the dynamic of population of Uzbekistan. Proceedings of the International conference “InterCarto. InterGIS”. Moscow: MSU, Faculty of Geography, 2021, V. 27. Part 4. P. 388–401. DOI: 10.35595/2414-9179-2021-4-27-388-401.
  13. Hermes K, Poulsen M. A review of current methods to generate synthetic spatial microdata using reweighting and future directions. Computers, Environment and Urban Systems, 2012. V. 36. Issue 4. P. 281–290. DOI: 10.1016/j.compenvurbsys.2012.03.005.
  14. Li S., Dragicevic S., Castro F.A., Seste M., Winter S., Colteki A., Pettit C., Jiang B., Haworth J., Stein A., Cheng T. Geospatial big data handling theory and methods: A review and research challenges. ISPRS Journal of Photogrammetry and Remote Sensing, 2016. V. 115. P. 119–133. DOI: 10.1016/j.isprsjprs.2015.10.012.
  15. Maron M., Channell T. How complete Is OpenStreetMap? Mapbox, 2015. Web resource: from https://blog.mapbox.com/how-complete-is-openstreetmap-7c369787af6e (accessed 15.11.2021).
  16. Mobasheri A., Pirotti F., Agugiaro G. Open-source geospatial tools and technologies for urban and environmental studies. Open Geospatial Data, Software and Standards, 2020. V. 5. DOI: 10.1186/s40965-020-00078-2.
  17. Neuman A. Web mapping and web cartography. Springer Handbook of Geographic Information, 2012. P. 273–287. DOI: 10.1007/978-3-540-72680-7_14.
  18. Quarati A., Matrino M. Open government data usage: a brief overview IDEAS’19. IDEAS’19: Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019. No. 28. P. 1–8. DOI: 10.1145/3331076.3331115.
  19. Rakhmonov D., Gulyamova L., Egamberdiev A., Shchukina O., Abdukodirova S. The issues of the creating an interactive map of Tashkent city population. International Journal of Advanced Science and Technology, 2020. V. 29 No. 05. P. 1346–1352.
  20. Rakhmonov D., Gulyamova L. Theoretical and Practical Issues of Development the Interactive Dynamic Maps of Population. Tashkent: “Kaleon Press”, 2021. 126 p. (in Uzbek).
  21. Scott G. Integrating Geospatial Information and Statistics. United Nations Institute on Global Geospatial Information Management (UN-GGIM), 2016. Web resource: https://ggim.un.org/knowledgebase/knowledgebasecategory22.aspx
  22. Shupeng Ch. Challenges and opportunities cartography faces. Acta Geographica Sinica, 1994. V. 49. Issue 1:18-8. (in Chinese) DOI: 10.11821/xb199401002.
  23. Tsou M-H. Research challenges and opportunities in mapping social media and Big Data. Cartography and Geographic Information Science. 2015, V. 42. Issue sup1. P. 70–74. DOI: 10.1080/15230406.2015.1059251.
  24. Walter Ch. Future Trends in geospatial information management: the five to ten-year vision. United Nations Committee of Experts on Global Geospatial Information Management. 2020. Web resource: https://ggim.un.org/documents/DRAFT_Future_Trends_report_3rd_edition.pdf
  25. Veregin H. Data Quality Parameters. Goodchild M.F., Longley P.A., Maguire D.J., Rhind D.W. (Eds.) New Developments in Geographical Information Systems: Principles, Techniques, Management and Applications, 2005. Hoboken NY: Wiley. P. 177–189.
  26. White T. Hadoop: The Definitive Guide. Sebastopol, CA: O’Reilly Media, Inc2012

Для цитирования: Gulyamova L.X., Rakhmonov D.N. Concept of an integration of open data for socio-economic mapping in Uzbekistan. ИнтерКарто. ИнтерГИС. Геоинформационное обеспечение устойчивого развития территорий: Материалы Междунар. конф. M: Географический факультет МГУ, 2022. Т. 28. Ч. 1. С. 58–68 DOI: 10.35595/2414-9179-2022-1-28-58-68

For citation: Gulyamova L.X., Rakhmonov D.N. Concept of an integration of open data for socio-economic mapping in Uzbekistan. InterCarto. InterGIS. GI support of sustainable development of territories: Proceedings of the International conference. Moscow: MSU, Faculty of Geography, 2022. V. 28. Part 1. P. 58–68. DOI: 10.35595/2414-9179-2022-1-28-58-68