TECHNOLOGIES FOR INTELLIGENT GEOSPATIAL MODELLING OF SECURITY RISK ASSESSMENT FOR TERRITORIAL COMMUNITIES: DIRECTIONS FOR THEIR DEVELOPMENT
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Skip to main Communities My dashboard Log in Sign up Published April 15, 2026 | Version v1 Journal article Open TECHNOLOGIES FOR INTELLIGENT GEOSPATIAL MODELLING OF SECURITY RISK ASSESSMENT FOR TERRITORIAL COMMUNITIES: DIRECTIONS FOR THEIR DEVELOPMENT Authors/Creators Mamonov K. Kukhar M. Shterndok E. Viatkin R. Description The relevance of the research topic lies in the fact that the current security issues of Ukraine's territorial communities in the context of hostilities are highly complex, covering defence, economic, environmental, social, informational and legal aspects. The deepening of internal and external negative changes in the functioning of territorial communities and the consequences of aggressive hostilities require a rethinking of approaches to countering security risks. Therefore, the topic of research on the development of intelligent geospatial modelling technology for assessing the security risks of territorial communities is of great importance. Files Slovak international scientific journal №106, 2026-56-59.pdf Files (376.4 kB) Name Size Download all Slovak international scientific journal №106, 2026-56-59.pdf md5:5133daaeb5bb904671d3089a39b6f742 376.4 kB Preview Download 26 Views 10 Downloads Show more details All versions This version Views Total views 26 26 Downloads Total downloads 10 10 Data volume Total data volume 3.8 MB 3.8 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords intelligent geospatial modelling, technology, assessment, security risks, local communities, artificial intelligence, geographic information systems Details DOI DOI Badge DOI 10.5281/zenodo.19587177 Markdown [](https://doi.org/10.5281/zenodo.19587177) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19587177.svg :target: https://doi.org/10.5281/zenodo.19587177 HTML <a href="https://doi.org/10.5281/zenodo.19587177"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19587177.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19587177.svg Target URL https://doi.org/10.5281/zenodo.19587177 Resource type Journal article Publisher Slovak international scientific journal Published in Slovak international scientific journal, 106, 56-59, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 15, 2026 Modified April 15, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies
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