空间数据智能与城市元宇宙:综述

IF 6.3 3区 综合性期刊 Q1 Multidisciplinary Fundamental Research Pub Date : 2025-05-01 Epub Date: 2023-12-28 DOI:10.1016/j.fmre.2023.10.014
Xiaofeng Meng , Yong Li , Ke Liu , Yu Liu , Bin Yang , Xuan Song , Guoqiong Liao , Senzhang Wang , Ziqiang Yu , Longbiao Chen , Xiao Pan , Yuming Lin
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引用次数: 0

摘要

空间数据智能(SDI)包括获取、存储、分析、挖掘和可视化空间数据,以深入了解物理世界并发现有价值的知识。这些理解和知识在连接物理和虚拟领域方面发挥着至关重要的作用,例如在开发旨在加强和优化现代城市环境的城市元世界(CM)中。CM的进步具有巨大的潜力,使城市居民受益,使SDI的研究日益突出的重点领域。本文通过在一个连贯的框架内组织相关的研究和技术,做出了重大贡献。首先,我们确定了能够收集真实世界信息以构建虚拟CM的SDI技术。随后,我们深入研究了可以与SDI组合集成的技术,从虚拟的角度促进与现实城市的互动和管理。此外,我们强调了这些方法在实际应用中的有效性和潜力。最后,我们通过讨论与技术进步、产业链、法律和监管方面以及伦理和道德考虑相关的新挑战来结束我们的调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Spatial data intelligence and city metaverse: A review
Spatial Data Intelligence (SDI) encompasses acquiring, storing, analyzing, mining, and visualizing spatial data to gain insights into the physical world and uncover valuable knowledge. These understandings and knowledge play a crucial role in connecting physical and virtual realms, such as in developing a City Metaverse (CM) aimed at enhancing and optimizing modern urban environments. The advancement of CM holds immense potential to benefit urban dwellers, making research on SDI an increasingly prominent area of focus. This paper contributes significantly by organizing the relevant research and technologies within a coherent framework. Firstly, we identify SDI technologies capable of collecting real-world information to construct a virtual CM. Subsequently, we delve into the technologies that can be compositely integrated with SDI to facilitate interaction with and management of actual cities from the virtual perspective. Additionally, we emphasize the effectiveness and potential of these methods in practical applications. Lastly, we conclude our survey by discussing emerging challenges associated with technological progress, the industrial chain, legal and regulatory aspects, and ethical and moral considerations.
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来源期刊
Fundamental Research
Fundamental Research Multidisciplinary-Multidisciplinary
CiteScore
4.00
自引率
1.60%
发文量
294
审稿时长
79 days
期刊介绍:
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