Contents

Extracting Spatial “Genes” and Developing Landscape Planning Pathways for Traditional Villages in Digital-Rural Revitalization Through Multidimensional Data Modeling

Author(s): Yue Han1
1College of Art and Design, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, 350202, China
Yue Han
College of Art and Design, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, 350202, China

Abstract

This study applies multidimensional data-computing models to the landscape planning and design of traditional villages. Using techniques such as cluster analysis, spatial morphological distribution profiling, and spatial-gene inheritance characterization, it identifies and extracts the key spatial “genes” that define traditional village form and structure. The proposed planning approach is anchored in conserving and transmitting these spatial genes as the foundation for landscape protection and renewal. Using Jiangsu Province as a case study, the research investigates regional differentiation in the spatial genealogy of traditional villages and evaluates the effectiveness of spatial-gene protection in Traditional Village A. Results indicate a clear spatial pattern across Jiangsu: traditional villages are more numerous and more concentrated in the south, and fewer and more dispersed in the north. The shares of traditional villages decrease from southern to central to northern Jiangsu, at 51.69%, 29.44%, and 18.88%, respectively. In addition, Traditional Village A achieves an overall score of 0.86 in landscape planning performance under the spatial-gene conservation and inheritance framework, indicating strong outcomes.

Keywords: multidimensional data calculation, spatial gene extraction, spatial genealogy, landscape planning
Copyright © 2024 Yue Han. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.