Metro systems are the pulsing veins of cities, traversing the city's texture and preserving the memory of urban life. Visualizing invisible urban metro landscape makes each city's unique identity and development more emblematic. In this project, we introduce an abstraction method that encodes metro routes as lines, cities as squares, and the global map as an abstract representation. Along with the implementation of an interactive system, the project enables a comprehensive visual exploration of the global metro lines. Through this highly abstract and minimalist form, each city's structure, symbolic identity, and regional development are revealed. Moreover, the colorful global metro map efficiently portrays the diversity and evolution of metro lines worldwide. With this pictorial we narrate the design process and our reflections along the project.
Xinyue Chen A PhD candidate in InfoVis&VA. An admirer of data-driven, generative, interactive art. A data journalist, crafting stories with keystrokes. I delve into the flow of information, exploring generous human-AI interfaces. Wandering through the garden of forking paths, I write lines of data poetry. |
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Yixuan Zhang |
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Yutong Yang |
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Jing Chen Master student at Nanjing University of the Arts, research direction: information visualization design. His works have been shortlisted for the National Art Exhibition (2024), PacificVis 2024 Visual Data Storytelling, and selected for the China VISAP’24 Art Exhibition. |
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Rebecca Ruige Xu Rebecca Ruige Xu, a professor of computer art at Syracuse University, focuses on artistic data visualization, experimental animation, visual music, and digital performance. Her work has been featured at venues like IEEE VIS, SIGGRAPH, Ars Electronica, and museums worldwide. rebeccaxu.com |
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Dr. Wai Ping Chan Ph.D., Associate Professor, Central Academy of Fine Arts (CAFA). The Committee on Visualization and Visual Analytics of the China Society of Image & Graphics, Chairman of the ChinaVis 2024 Art Project. He previously served as the AD of the Olympic Art Research Center at the CAFA. |
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Xiaoru Yuan |