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Landscape Architecture Construction Using Landscape Urbanism And Dynamic Nonlinear System Thinking

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Listed:
  • XUEJIAN XIAO

    (College of Landscape Architecture and Art, Jiangxi Agricultural University, Nanchang Jiangxi 330045, P. R. China)

  • LI TIAN

    (College of Landscape Architecture and Art, Jiangxi Agricultural University, Nanchang Jiangxi 330045, P. R. China)

  • KHALED MOHAMMAD ALAHMADI

    (��Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia)

  • XINREN GU

    (College of Landscape Architecture and Art, Jiangxi Agricultural University, Nanchang Jiangxi 330045, P. R. China)

Abstract

To further explore the specific application of nonlinear system in the construction of landscape architecture and promote the parametric development of landscape design, in this exploration, based on the digital elevation model (DEM) and nonlinear algorithm theory, the road selection scheme using cost distance algorithm and path distance algorithm is explored. The results suggest that there are obvious differences between cost distance algorithm and path distance algorithm in the consideration of parameters in use. The path distance algorithm needs to further consider the influence of surface grid and vertical system parameters. Environmental factors and different classification methods have great influence on road selection. When the limit value is greater than ±30∘, there is no obvious change in road selection. However, when SLOPE values are 15∘, 30∘ and 45∘, respectively, the difference in road selection is small, and the application effect is good. This exploration can provide the sufficient reference for the follow-up study of landscape road selection.

Suggested Citation

  • Xuejian Xiao & Li Tian & Khaled Mohammad Alahmadi & Xinren Gu, 2022. "Landscape Architecture Construction Using Landscape Urbanism And Dynamic Nonlinear System Thinking," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 30(02), pages 1-13, March.
    • Handle: RePEc:wsi:fracta:v:30:y:2022:i:02:n:s0218348x22400795
    DOI: 10.1142/S0218348X22400795
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