Article: Traditional settlement spatial landscape generation and optimisation using multidimensional GlS data driven method: a case study of Fujian province Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.29 pp.75 - 90 Abstract: The digital analysis and generation optimisation of traditional settlement landscape spatial forms is an important issue in the field of urban and rural cultural heritage protection. This study focuses on typical traditional settlements in Fujian where diverse cultures blend together, and proposes a GIS-based multidimensional data-driven method for generating and optimising landscape spatial forms. A spatial form iterative optimisation algorithm that integrates parameterised generation and generative adversarial networks with multi-objective genetic algorithms is developed to achieve intelligent generation and dynamic optimisation of traditional settlement spatial forms. Empirical research has shown that this method can effectively analyse the three-dimensional spatial morphology characteristics of typical types such as Minnan Red Brick Cuo settlements and Minxi Tulou settlements. The research results have important practical value for the dynamic inheritance of cultural heritage under the background of rural revitalisation. Inderscience Publishers - linking academia, business and industry through research

Title: Traditional settlement spatial landscape generation and optimisation using multidimensional GlS data driven method: a case study of Fujian province

Authors: Libin Zhou; Yuanping Shen; Qunyue Liu; Ling Yang

Addresses: College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou 350118, China ' College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou 350118, China ' College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou 350118, China ' School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China

Abstract: The digital analysis and generation optimisation of traditional settlement landscape spatial forms is an important issue in the field of urban and rural cultural heritage protection. This study focuses on typical traditional settlements in Fujian where diverse cultures blend together, and proposes a GIS-based multidimensional data-driven method for generating and optimising landscape spatial forms. A spatial form iterative optimisation algorithm that integrates parameterised generation and generative adversarial networks with multi-objective genetic algorithms is developed to achieve intelligent generation and dynamic optimisation of traditional settlement spatial forms. Empirical research has shown that this method can effectively analyse the three-dimensional spatial morphology characteristics of typical types such as Minnan Red Brick Cuo settlements and Minxi Tulou settlements. The research results have important practical value for the dynamic inheritance of cultural heritage under the background of rural revitalisation.

Keywords: geographic information system; generate adversarial networks; multi objective genetic algorithm; multidimensional data-driven approach; parameterised generation.

DOI: 10.1504/IJICT.2025.147877

International Journal of Information and Communication Technology, 2025 Vol.26 No.29, pp.75 - 90

Received: 24 May 2025
Accepted: 13 Jun 2025
Published online: 05 Aug 2025 *

Title: Traditional settlement spatial landscape generation and optimisation using multidimensional GlS data driven method: a case study of Fujian province

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