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USIViz: An Efficient Visualization System for Multi-Source Urban Spatial Information Data.

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Title: USIViz: An Efficient Visualization System for Multi-Source Urban Spatial Information Data.
Authors: Li, Jiabao1 (AUTHOR), Wang, Yuewei1 (AUTHOR), Duan, Rongrong1 (AUTHOR), Zhang, Zhaoyang1 (AUTHOR), Cui, Xiubin1 (AUTHOR), Huang, Xiaohui1 (AUTHOR) xhhuang@cug.edu.cn
Source: Journal of Circuits, Systems & Computers. 2/15/2025, Vol. 35 Issue 3, p1-18. 18p.
Subjects: Vector data, Visualization, Data visualization, Data structures, Geographic information systems, Geodatabases, Maps
Abstract: Comprehensive visualization of urban geographic information is critical for understanding and recognizing urban data. However, because of the diverse sources, different types, varying volumes and significant differences in temporal and spatial scales of urban geographic information, achieving comprehensive visualization on a single platform is challenging. The current urban geographic information application platform has problems with incomplete visualization data types and insufficient efficiency of visualization services. This paper summarized the data types of urban geographic information. For static data types such as vector, raster and chart, the digital earth-driven visualization process is sorted out and technical solutions for visualizing different urban geographic data are provided. Then, a dynamic visualization method based on CZML multi-temporal processing is proposed to meet the visualization requirements of dynamic display. Finally, an efficient visualization rendering method for large-scale vector data is proposed for the improvement of visualization efficiency. We conduct a series of experiments using a large amount of urban geographic data based on the digital earth engine. The experiment results verify the effectiveness of the visualization method proposed in this paper and the feasibility of the overall visualization solution for urban geographic information data. This study can provide a reference for the visualization analysis of urban spatial data, and also provide a demonstration and inspiration for related researchers. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Circuits, Systems & Computers is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 189209890
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: USIViz: An Efficient Visualization System for Multi-Source Urban Spatial Information Data.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Circuits%2C+Systems+%26+Computers%22">Journal of Circuits, Systems & Computers</searchLink>. 2/15/2025, Vol. 35 Issue 3, p1-18. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Vector+data%22">Vector data</searchLink><br /><searchLink fieldCode="DE" term="%22Visualization%22">Visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Data+visualization%22">Data visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures%22">Data structures</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Geodatabases%22">Geodatabases</searchLink><br /><searchLink fieldCode="DE" term="%22Maps%22">Maps</searchLink>
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  Data: Comprehensive visualization of urban geographic information is critical for understanding and recognizing urban data. However, because of the diverse sources, different types, varying volumes and significant differences in temporal and spatial scales of urban geographic information, achieving comprehensive visualization on a single platform is challenging. The current urban geographic information application platform has problems with incomplete visualization data types and insufficient efficiency of visualization services. This paper summarized the data types of urban geographic information. For static data types such as vector, raster and chart, the digital earth-driven visualization process is sorted out and technical solutions for visualizing different urban geographic data are provided. Then, a dynamic visualization method based on CZML multi-temporal processing is proposed to meet the visualization requirements of dynamic display. Finally, an efficient visualization rendering method for large-scale vector data is proposed for the improvement of visualization efficiency. We conduct a series of experiments using a large amount of urban geographic data based on the digital earth engine. The experiment results verify the effectiveness of the visualization method proposed in this paper and the feasibility of the overall visualization solution for urban geographic information data. This study can provide a reference for the visualization analysis of urban spatial data, and also provide a demonstration and inspiration for related researchers. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Circuits, Systems & Computers is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1142/S0218126625504146
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        Text: English
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      – SubjectFull: Vector data
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      – SubjectFull: Data visualization
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      – SubjectFull: Geodatabases
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      – SubjectFull: Maps
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      – TitleFull: USIViz: An Efficient Visualization System for Multi-Source Urban Spatial Information Data.
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              Text: 2/15/2025
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              Y: 2026
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