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Understand space–time accessibility using a visual metaphor: a case study in Hong Kong–Zhuhai–Macao Belt

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Abstract

Space–time accessibility among spatial elements has been widely studied, but fewer interactive visualization products have been delivered. The concept of space–time accessibility is hard to be displayed, and most methods lack capabilities of handling relevant space–time attribute information in a cartographic form. To tackle this issue, our research presents a visual metaphor method to demonstrate space–time accessibility in a terrain-like form. We first employ a water flow model to analyze the space–time accessibility and further build a terrain-like visual metaphor for effectively displaying the analytical results in a three-dimensional frame. Compared to previous studies, the visual metaphor is used to map the high dimensional space to a lower dimension virtual terrain space with the spatial cognition to comprehensively understand the space–time accessibility of the Hong Kong–Zhuhai–Macao Belt.

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Acknowledgements

This work is partially supported by China Scholarship Council, State Key Laboratory of Geo-Information Engineering (no. SKLGIE2019-Z-4-1), Key Laboratory of Geological Survey and Evaluation of Ministry of Education (no. GLAB2020ZR11), the Fundamental Research Funds for the Central Universities, National Natural Science Foundation of China (41871305) and National Key RandD Program of China (2018YFB0505504).

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Authors and Affiliations

  1. State Key Laboratory of Geo-Information Engineering, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China

    Baode Jiang & Zhanlong Chen

  2. Xi’an Research Institute of Surveying and Mapping, Xi’an, 710054, China

    Xiaoya An

Authors
  1. Baode Jiang
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  2. Xiaoya An
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  3. Zhanlong Chen
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Contributions

BJ, methodology, project administration, manuscript editing; XA, software, validation; ZC, visualization, manuscript review and editing.

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Correspondence to Zhanlong Chen.

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This article is part of a Topical Collection in Environmental Earth Sciences on Deep learning for earth resource and environmental remote sensing, guest edited by Carlos Enrique Montenegro Marin, Xuyun Zhang and Nallappan Gunasekaran.

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Jiang, B., An, X. & Chen, Z. Understand space–time accessibility using a visual metaphor: a case study in Hong Kong–Zhuhai–Macao Belt. Environ Earth Sci 81, 130 (2022). https://doi.org/10.1007/s12665-022-10243-w

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