The Construction and Analysis of a Spatial Gene Map of Marginal Villages in Southern Sichuan
With the acceleration of modernization, villages in Southwest China are experiencing spatial fragmentation and homogenization, leading to the loss of traditional identity. Addressing how to balance scientific planning with cultural and spatial continuity has become a key challenge in rural governance. This study takes Xuyong County in Luzhou City as a case and develops a three-tier analytical framework—“genome–spatial factors–specific indicators”—based on the space gene theory to identify, classify, and map spatial patterns in marginal villages of southern Sichuan. Through cluster analysis, common and distinctive spatial genes are extracted. Common genes—such as medium surface roughness (GeneN-2-b), medium building dispersion (GeneA-3-b), and low intelligibility (GeneT-2-b)—are prevalent across multiple village types, reflecting shared adaptive strategies to complex terrains, ecological constraints, and historical development. In contrast, distinctive genes—such as high building dispersion (GeneA-3-a) and linear boundaries (GeneB-1-c)—highlight unique spatial responses that are shaped by local cultural and environmental conditions. The results contribute to a deeper understanding of spatial morphology and adaptive mechanisms in rural settlements. This research offers a theoretical and methodological basis for village classification, conservation zoning, and spatial optimization, providing practical guidance for rural revitalization efforts focusing on both development and heritage protection.
Authors
- Xiaoyang Guo (ORCID: https://orcid.org/0009-0003-6067-9967)
- Jiahao Wan
- Xian Zhang (ORCID: https://orcid.org/0000-0002-5841-6899)
- Z.P. Wen
Institutions
- Suzhou University of Science and Technology (CN)
- Chongqing Jiaotong University (CN)
Publication Details
- Journal
- Buildings
- Published
- 2025-07-24
- DOI
- https://doi.org/10.3390/buildings15152628
- Primary Topic
- Regional Development and Environment
- Type
- article
- Field-Weighted Citation Impact
- 0.00