以知识为导向的灾害场景可视化框架,帮助公众认知风险信息

IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Geographical Information Science Pub Date : 2024-01-07 DOI:10.1080/13658816.2023.2298299
Jun Zhu, Jinbin Zhang, Qing Zhu, Weilian Li, Jianlin Wu, Yukun Guo
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引用次数: 0

摘要

作为虚拟地理环境(VGEs)的一项重要应用,虚拟灾难场景对提高公众的风险意识至关重要。然而,现有的虚拟灾害场景可视化技术还存在许多问题。
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A knowledge-guided visualization framework of disaster scenes for helping the public cognize risk information
As an important application of virtual geographic environments (VGEs), virtual disaster scenes are essential in enhancing the public’s risk awareness. However, existing virtual disaster scene visua...
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来源期刊
CiteScore
11.00
自引率
7.00%
发文量
81
审稿时长
9 months
期刊介绍: International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.
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