城市视觉分析调查：进展与未来方向。

IF 17.3 3区计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Computational Visual Media Pub Date : 2023-01-01 Epub Date: 2022-10-18 DOI:10.1007/s41095-022-0275-7

Zikun Deng, Di Weng, Shuhan Liu, Yuan Tian, Mingliang Xu, Yingcai Wu

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引用次数: 0

摘要

开发有效的可视化分析系统需要对领域问题的特征进行仔细分析，并将可视化技术与计算模型相结合。城市可视化分析在解决城市问题和为智慧城市提供基础服务方面已经取得了显著成就。为了进一步推动学术研究，帮助开发工业化城市分析系统，我们从四个方面对城市可视化分析研究进行了全面回顾。其中，我们确定了 8 个城市领域和 22 种流行可视化类型，分析了 7 种计算方法，并根据可视化技术和计算模型的整合情况将现有系统分为 4 类。最后，我们提出了潜在的研究方向和机遇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A survey of urban visual analytics: Advances and future directions.

查看原文本刊更多论文

A survey of urban visual analytics: Advances and future directions.

Developing effective visual analytics systems demands care in characterization of domain problems and integration of visualization techniques and computational models. Urban visual analytics has already achieved remarkable success in tackling urban problems and providing fundamental services for smart cities. To promote further academic research and assist the development of industrial urban analytics systems, we comprehensively review urban visual analytics studies from four perspectives. In particular, we identify 8 urban domains and 22 types of popular visualization, analyze 7 types of computational method, and categorize existing systems into 4 types based on their integration of visualization techniques and computational models. We conclude with potential research directions and opportunities.

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来源期刊

Computational Visual Media Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

16.90

自引率

5.80%

发文量

243

审稿时长

6 weeks

期刊介绍： Computational Visual Media is a peer-reviewed open access journal. It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media. Computational Visual Media publishes articles that focus on, but are not limited to, the following areas: • Editing and composition of visual media • Geometric computing for images and video • Geometry modeling and processing • Machine learning for visual media • Physically based animation • Realistic rendering • Recognition and understanding of visual media • Visual computing for robotics • Visualization and visual analytics Other interdisciplinary research into visual media that combines aspects of computer graphics, computer vision, image and video processing, geometric computing, and machine learning is also within the journal''s scope. This is an open access journal, published quarterly by Tsinghua University Press and Springer. The open access fees (article-processing charges) are fully sponsored by Tsinghua University, China. Authors can publish in the journal without any additional charges.