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Multimodal Spatio-Temporal Data Visualization Technologies for Contemporary Urban Landscape Architecture: A Review and Prospect in the Context of Smart Cities

Author

Listed:
  • Xiao Han

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Zhe Li

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Hao Cao

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Bingyu Hou

    (School of Architecture, Southeast University, Nanjing 210096, China)

Abstract

The development of smart cities provides a vital foundation for the intelligent advancement of landscape architecture and engineering technologies, where multimodal spatio-temporal data visualization plays a key role. This study conducts a scoping review to explore the advancements in multimodal spatio-temporal data visualization within landscape architecture and to assess their potential to drive urban intelligence and sustainable development. This review analyzes publication trends, data types, application scenarios, and identifies research challenges and future directions. The results indicate that the complementary integration of basic data and sensing data has established relatively mature technical pathways for clustering, correlation analysis, process simulation, and trend forecasting. Future research should prioritize real-time data presentation, efficient platform integration, intelligent processing and scientific mapping of massive information, and interdisciplinary research and practical applications. This study lays a foundation for the development of intelligent landscape architecture, highlighting promising prospects for technological advancement.

Suggested Citation

  • Xiao Han & Zhe Li & Hao Cao & Bingyu Hou, 2025. "Multimodal Spatio-Temporal Data Visualization Technologies for Contemporary Urban Landscape Architecture: A Review and Prospect in the Context of Smart Cities," Land, MDPI, vol. 14(5), pages 1-35, May.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:1069-:d:1656167
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    References listed on IDEAS

    as
    1. Shuai Li & Haiyu Ma & Di Yang & Wei Hu & Hao Li, 2023. "The Main Drivers of Wetland Evolution in the Beijing-Tianjin-Hebei Plain," Land, MDPI, vol. 12(2), pages 1-25, February.
    2. Kevin Raaphorst & Ingrid Duchhart & Wim van der Knaap & Gerda Roeleveld & Adri van den Brink, 2017. "The semiotics of landscape design communication: towards a critical visual research approach in landscape architecture," Landscape Research, Taylor & Francis Journals, vol. 42(1), pages 120-133, January.
    3. repec:plo:pone00:0158329 is not listed on IDEAS
    4. Mohamed Bayoumi Kamel & Tarek Sayed, 2021. "The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach," Environment and Planning B, , vol. 48(7), pages 2055-2072, September.
    5. Stephanie Wilkie & Emine Thompson & Paul Cranner & Kevin Ginty, 2020. "Attention restoration theory as a framework for analysis of Tweets about urban green space: a case study," Landscape Research, Taylor & Francis Journals, vol. 45(6), pages 777-788, August.
    6. Tao, Sui & Rohde, David & Corcoran, Jonathan, 2014. "Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap," Journal of Transport Geography, Elsevier, vol. 41(C), pages 21-36.
    7. Adri van den Brink & Diedrich Bruns, 2014. "Strategies for Enhancing Landscape Architecture Research," Landscape Research, Taylor & Francis Journals, vol. 39(1), pages 7-20, February.
    8. Rob Kitchin, 2019. "The Timescape of Smart Cities," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(3), pages 775-790, May.
    Full references (including those not matched with items on IDEAS)

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