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Quantitative Analysis Method of the Organizational Characteristics and Typical Types of Landscape Spatial Sequences Applied with a 3D Point Cloud Model

Author

Listed:
  • Yijing Wang

    (College of Architecture, Nanjing Tech University, Nanjing 211816, China)

  • Yuning Cheng

    (School of Architecture, Southeast University, Nanjing 210018, China)

  • Sisi Zlatanova

    (School of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia)

  • Shi Cheng

    (School of Architecture, Southeast University, Nanjing 210018, China)

Abstract

(1) Background: Sequential landscape changes give people experiences of dynamic beauty, and the key to creating spatial sequences lies in the organization of spatial changes. The purpose of this study is to use a 3D point cloud model to achieve a refined description of spatial sequences’ organizational characteristics from information acquisition to description and explore the quantitative interpretation methods of typical sequence organizational characteristics. (2) Methods: The proposed model contains three main steps: data acquisition and extraction, characteristic index system construction and data processing, and quantitative characterization analysis. A typology research method that combines quantitative induction with qualitative statistical verification is proposed. (3) Results: Seventy-two spatial sequence point cloud models of study cases are obtained; 4 indicators are established; 3 typical organization types are summarized, namely fluctuating, reversal and moderate type; and the characterization factors and threshold intervals for each sequence organization type are analyzed to validate the type classification result. (4) Conclusions: This research improves the accuracy of spatial data, the comprehensiveness of sequence organization characterization factors, and the reliability of classification results. It supplements the existing spatial sequence theoretical knowledge system and provides parameters that can be referred to in practical design.

Suggested Citation

  • Yijing Wang & Yuning Cheng & Sisi Zlatanova & Shi Cheng, 2024. "Quantitative Analysis Method of the Organizational Characteristics and Typical Types of Landscape Spatial Sequences Applied with a 3D Point Cloud Model," Land, MDPI, vol. 13(6), pages 1-19, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:6:p:770-:d:1404876
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    References listed on IDEAS

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    1. Serap Yılmaz & Halil Özgüner & Sema Mumcu, 2018. "An aesthetic approach to planting design in urban parks and greenspaces," Landscape Research, Taylor & Francis Journals, vol. 43(7), pages 965-983, October.
    2. Yijing Wang & Sisi Zlatanova & Jinjin Yan & Ziqiao Huang & Yuning Cheng, 2021. "Exploring the relationship between spatial morphology characteristics and scenic beauty preference of landscape open space unit by using point cloud data," Environment and Planning B, , vol. 48(7), pages 1822-1840, September.
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