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21 February 2024 Visualization and visual analysis of cyberspace metaphors based on continuous cartogram
Longhui Liu, Yang Zhou, Qunshan Shi, Xiaofei Hu, Shihao Shi
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Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129881I (2024) https://doi.org/10.1117/12.3024098
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China
Abstract
Cyberspace mapping has emerged as a new and compelling area of research within the field of cartography. This paper addresses the challenge of overlapping points in cyberspace visualization, which poses difficulties for visual analysis. To tackle this issue, we propose a cyberspace metaphorical cartogram map that combines metaphorical mapping and continuous cartogram technology. Additionally, based on our method, we use our method to construct a cyberspace map using global IPv6 data from the Asia-Pacific Network Information Center (APNIC) to analyze the current development pattern of the global IPv6 network. Experimental results demonstrate the effectiveness of our method in avoiding node duplication, aligning with the reading logic of geospatial maps, and providing an efficient visualization approach for data comprehension.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Longhui Liu, Yang Zhou, Qunshan Shi, Xiaofei Hu, and Shihao Shi "Visualization and visual analysis of cyberspace metaphors based on continuous cartogram", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129881I (21 February 2024); https://doi.org/10.1117/12.3024098
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KEYWORDS
Visualization
Visual analytics
Internet
Data modeling
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