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

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.