IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i5p1069-d1656167.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/5/1069/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/5/1069/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:1069-:d:1656167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.