Stupu, Andreea Diana and Göktuğ Kaya, Mustafa and Vuković, Predrag and Manole, Cristina and Condeianu, Ovidiu (2024) 3D Urban Modeling and Data Mining Tools, Visual Sensing and Perception Systems, and Virtual Reallity and Geospatial Mapping Technologies in Immersive Interoperable Environments. Geopolitics, History, and International Relations, 16 (2). pp. 113-127. ISSN 1948-9145
Full text not available from this repository.Abstract
The objective of this paper is to systematically review Internet of Things-based smart city environments. The findings and analyses highlight that spatial computing and big data-driven forecasting algorithms, remote sensing data, cloud computing and virtual modeling technologies, and deep generative and digital twin modeling tools can be deployed in spatial planning processes across immersive interoperable environments. Throughout June 2024, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “immersive interoperable environments” + “3D urban modeling and data mining tools,” “visual sensing and perception systems,” and “virtual reality and geospatial mapping technologies.” As research published in 2022 and 2023 was inspected, only 166 articles satisfied the eligibility criteria, and 20 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: CASP, R package and Shiny app citationchaser, Eppi-Reviewer, JBI SUMARI, Litstream, SWIFT-Active Screener.
Item Type: | Article |
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Uncontrolled Keywords: | 3D urban modeling, data mining, visual sensing and perception, virtual reality, geospatial mapping, immersive interoperable environments |
Depositing User: | Unnamed user with email srdjan.jurlina@ien.bg.ac.rs |
Date Deposited: | 16 May 2025 09:18 |
Last Modified: | 16 May 2025 09:18 |
URI: | http://repository.iep.bg.ac.rs/id/eprint/1098 |
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