Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Exploring the construction and analysis method of landscape spatial structure based on complex networks

Bibliographic Data

ID21247731
AuthorsYijing Wang (0000-0002-7886-8366, Nanjing Tech University, corresponding author), Shi Cheng (0000-0002-0597-9823, Southeast University), Ziqian Cheng (0000-0002-3628-8961, Southeast University), Yuning Cheng (Southeast University, corresponding author)
Year2024
Volume51
Issue3
Pages745-762
Publication date2024-03-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/23998083231197496
OpenAlexW4386048021
LanguageEN
References cited23

Complex network theory proposes a structural network model that abstracts the elements in a complex system into nodes and the relationship between elements into ties, which proved to be a scientific method to study the structural system of complexities. This article aims to apply the complex network theory to interpret the organization of landscape spatial structure and propose a spatial structure network construction and quantitative analysis method suitable for landscape space. The following two questions are addressed in this research: (1) How to extract the structural elements from the landscape space and realize the construction of the structural network model based on the 3D spatial information? (2) How to quantitatively analyze the organization characteristics of a spatial structure according to the particularity of landscape space? The research content of this article includes the following five aspects, which are 3D spatial information acquisition, structural element extraction, structural element description, structural network model diagramming, and quantitative index selection. Taking Nanjing Lovers Park as an example, the feasibility of this method is verified. The results show that the method proposed can guarantee the accuracy of the landscape spatial structure model, visualize the attributes of structural elements, and achieve a refined analysis of the structure organization

Civil engineering · Complex network · Complex system · Data mining · Geography · Network analysis · Network structure · Remote sensing · Spatial analysis · Structural system · Computer Science · Engineering · Land Use and Ecosystem Services · Urban Design and Spatial Analysis · Urban Green Space and Health · Artificial Intelligence · Theoretical Computer Science

  • Spatial networks

    Open Access•Marc Barthélemy•Physics Reports•2011

  • Point cloud modeling as a bridge between landscape design and planning

    Open Access•Philipp R W Urech, Maria Angela Dissegna et al.•Landscape and Urban Planning•2020

  • Understanding ecological groups under landscape fragmentation based on network theory

    Open Access•Yuhang Luo, Jiansheng Wu et al.•Landscape and Urban Planning•2021

  • Exploring the relationship between spatial morphology characteristics and scenic beauty preference of landscape open space unit by using point cloud data

    Open Access•Yijing Wang, Sisi Zlatanova et al.•Environment and Planning B Urban…•2021

  • Network Theory and Small Groups

    Open Access•Nancy Katz, David Lazer et al.•Small Group Behavior•2004

  • Urban–rural ecological networks for landscape planning

    Open Access•Andrea De Montis, Simone Caschili et al.•Land Use Policy•2016

  • Historical oblique aerial photographs as a powerful tool for communicating landscape changes

    Open Access•Stig Roar Svenningsen, Jesper Brandt et al.•Land Use Policy•2015

  • Mapping landscape spaces

    Open Access•Mei Liu, Liu Mei et al.•Environmental Impact Assessment…•2020

Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae