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Automated 3D Urban Landscapes Visualization Using Open Data Sources on the Example of the City of Zagreb (CROSBI ID 309941)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Komadina, Adrian ; Mihajlović, Željka Automated 3D Urban Landscapes Visualization Using Open Data Sources on the Example of the City of Zagreb // KN - Journal of cartography and geographic information, 5 (2022), 1-14. doi: 10.1007/s42489-022-00102-w

Podaci o odgovornosti

Komadina, Adrian ; Mihajlović, Željka

engleski

Automated 3D Urban Landscapes Visualization Using Open Data Sources on the Example of the City of Zagreb

Geographical location visualization is important to create virtual environments when performing simulations. This study uses publicly available data sources to create three-dimensional (3D) views of geographical locations, focusing on the city of Zagreb as a case study, and presents an automated solution that integrates data from four different sources to achieve this. Publicly available data sources (OpenStreetMap, Google Maps Elevation API, MapBox Static Images API) were used, and GIS Zrinjevac which is unique to Zagreb. Based on these sources, individual 3D objects were generated and displayed virtually in the form of an interactive 3D map. The proposed solution attempts to balance the differing levels of detail achieved using other techniques. The solution was implemented in the form of an application created using the Unity game engine. The results were analyzed to evaluate the solution’s validity and the created application’s performance. The analysis showed that the total execution time dependence is quadratically polynomial to the amount of retrieved data, and linear to the number of height map points. Examining the application’s update rate showed that the buildings and individual models used for polygon and point data had the greatest impact. Finally, possible improvements, alternative approaches, and advantages and disadvantages of the proposed solution are compared with other techniques used in this research area.

Data visualization, Cartographic data, Virtual environment, OpenStreetMap, GIS Zrinjevac, Google maps elevation API

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Podaci o izdanju

5

2022.

1-14

objavljeno

2524-4957

2524-4965

10.1007/s42489-022-00102-w

Povezanost rada

Računarstvo

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