The state of service-oriented technologies for the geovisualization of geospatial data in ukraine and trends in their development

Authors

  • R. Zinenko ДП «НДІГК» , Kyiv National University of Construction and Architecture image/svg+xml

DOI:

https://doi.org/10.31548/zemleustriy2026.02.03

Keywords:

geoinformation service, cartography, geoportal, geographic information system, NSDI, geospatial data, geospatial database, integration, service

Abstract

This article examines the current state of geospatial data visualization technologies and identifies the main trends in their development in the context of digitalization. It analyzes the architecture and functional capabilities of the national geoportal, as well as the network of geoportals operated by local governments and state administrations. The scientific novelty of the work lies in a systematic analysis of the implementation of service-oriented architecture (SOA) and Open Geospatial Consortium standards (WMS, WMTS, WFS, CSW) in domestic digital governance practices. A transition from static mapping to dynamic web-oriented GIS platforms has been identified. The research results, based on an analysis of real-world case studies of urban communities, demonstrate a high level of integration of visualization services (WMTS, WMS) despite a shortage of services providing direct access to objects (WFS, VectorTile). The conclusions drawn contribute to the optimization of spatial planning processes, territorial monitoring, and the making of informed management decisions in the context of the digital transformation of the state. The results of the study can be used to improve geoportals and develop geospatial data infrastructure.

Received: 27.03.2026;

Accepted: 04.05.2026;

Author Biography

  • R. Zinenko, ДП «НДІГК», Kyiv National University of Construction and Architecture

    Ph.D. student in the Department of Geoinformatics and Photogrammetry

References

1. Karpinskyi, Yu. O., Liashchenko, A. A., Lazorenko, N. Yu., & Kin, D. O. (2023). Osnovy stvorennia interoperabelnykh heoprostorovykh danykh [Fundamentals of creating interoperable geospatial data]. KNUBA. Available at: https://repositary.knuba.edu.ua/handle/123456789/14205 [in Ukrainian]

2. Karpinskyi, Y., Lazorenko-Hevel, N., & Kin, D. (2020). INSPIREID implementation in the topographic database of the main state topographic map of Ukraine. ISTCGCAP, 91(91), 20–27. DOI: https://doi.org/10.23939/istcgcap2020.91.020

3. Karpinskyi, Yu., Lyashchenko, A., Lazorenko-Hevel, N., Cherin, A., Kin, D., & Havryliuk, Ye. (2021). Main state topographic map: Structure and principles of the creation of a database. Geoinformatics, 2021, 1–6. DOI: https://doi.org/10.3997/2214-4609.20215521043

4. Liashchenko, A., Karpinskyi, Yu., Havryliuk, Ye., & Cherin, A. (2021). Metody ta zasoby zabezpechennia interoperabelnosti komponentiv natsionalnoi infrastruktury heoprostorovykh danykh [Methods and tools for ensuring interoperability of components of the national geospatial data infrastructure]. Mistobuduvannia ta terytorialne planuvannia, 77, 309–319. DOI: https://doi.org/10.32347/2076-815x.2021.77.309-319 [in Ukrainian]

5. Huang, M., Fan, X., Jian, H., Zhang, H., Guo, L., & Di, L. (2022). Bibliometric analysis of OGC specifications between 1994 and 2020 based on Web of Science (WoS). ISPRS International Journal of Geo-Information, 11(4), 251. DOI: https://doi.org/10.3390/ijgi11040251

6. Varol, M. B., & Şanlıoğlu, İ. (2017). Open Geospatial Consortium web map and feature services and free/open source server/client softwares. International Journal of Engineering and Geosciences, 2(1), 17–26. DOI: https://doi.org/10.26833/ijeg.286691

7. Hamza, M. H., & Chmit, M. (2022). GIS-based planning and web/3D web GIS applications for the analysis and management of MV/LV electrical networks (a case study in Tunisia). Applied Sciences, 12(5), 2554. DOI: https://doi.org/10.3390/app12052554

8. Iadanza, C., Trigila, A., Starace, P., Dragoni, A., Biondo, T., & Roccisano, M. (2021). IdroGEO: A collaborative web mapping application based on REST API services and open data on landslides and floods in Italy. ISPRS International Journal of Geo-Information, 10(2), 89. DOI: https://doi.org/10.3390/ijgi10020089

9. Netek, R., Pohankova, T., Bittner, O., & Urban, D. (2023). Geospatial analysis in web browsers—Comparison study on WebGIS process-based applications. ISPRS International Journal of Geo-Information, 12(9), 374. DOI: https://doi.org/10.3390/ijgi12090374

10. Ferrari, E., Striewski, F., Tiefenbacher, F., Bereuter, P., Oesch, D., & Di Donato, P. (2024). Search engine for Open Geospatial Consortium web services improving discoverability through natural language processing-based processing and ranking. ISPRS International Journal of Geo-Information, 13(4), 128. DOI: https://doi.org/10.3390/ijgi13040128

11. Trystuła, A., Dudzińska, M., & Źróbek, R. (2020). Evaluation of the completeness of spatial data infrastructure in the context of cadastral data sharing. Land, 9(8), 272. DOI: https://doi.org/10.3390/land9080272

12. Baella, B., Lleopart, A., & Pla, M. (2012). ICC topographic databases: Design of a MRDB for data management optimization. In Proceedings of the 15th ICA Workshop on Generalisation and Multiple Representation. Available at: https://kartographie.geo.tu-dresden.de/downloads/ica-gen/submissions2012/genemr2012_session4_sub4.pdf

13. Zhang, X., Guo, T., Huang, J., & Xin, Q. (2016). Propagating updates of residential areas in multi-representation databases using constrained Delaunay triangulations. ISPRS International Journal of Geo-Information, 5(6), 80. DOI: https://doi.org/10.3390/ijgi5060080

14. Çobankaya, O. N., & Uluğtekin, N. (2013). Updating the multiple representation database. In Proceedings of the 26th International Cartographic Conference, 1–8. Available at: https://icaci.org/files/documents/ICC_proceedings/ICC2013/_extended%20Abstract/49_proceeding.pdf

15. Çobankaya, O. N., & Uluğtekin, N. (2015). Creating multiple representation database for population object class: Deriving representation levels and object matching. In Proceedings of the 27th International Cartographic Conference, 1–14. Available at: https://dev.icaci.org/files/documents/ICC_proceedings/ICC2015/papers/3/fullpaper/T3-530_1429279089.pdf

16. Stoter, J., Visser, T., van Oosterom, P., Quak, W., & Bakker, N. (2011). A semantic-rich multi-scale information model for topography. International Journal of Geographical Information Science, 25(5), 739–763. DOI: https://doi.org/10.1080/13658816.2010.490218

17. Brewer, C. A., Stanislawski, L. V., Buttenfield, B. P., Sparks, K. A., McGilloway, J., & Howard, M. A. (2013). Automated thinning of road networks and road labels for multiscale design of The National Map of the United States. Cartography and Geographic Information Science, 40(4), 259–270. DOI: http://dx.doi.org/10.1080/15230406.2013.799735

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Published

2026-06-30

Issue

Section

Geoinformation technologies for modeling the state of geosystems

How to Cite

Zinenko, R. (2026). The state of service-oriented technologies for the geovisualization of geospatial data in ukraine and trends in their development. Land Management, Cadastre and Land Monitoring, 2. https://doi.org/10.31548/zemleustriy2026.02.03