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Multiscale spatial heterogeneity and type identification of traditional villages in Meishan area
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Xuejia HUANG1, 2, 3, Shouyun SHEN1, 3, Qiulin LIAO1, 3, Baojing WEI1, 3, Yurou LI1, 3
Journal of Central South University of Forestry & Technology | 2026, 46(6) : 200 - 213
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Journal of Central South University of Forestry & Technology | 2026, 46(6): 200-213
Multiscale spatial heterogeneity and type identification of traditional villages in Meishan area
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Xuejia HUANG1, 2, 3, Shouyun SHEN1, 3, Qiulin LIAO1, 3, Baojing WEI1, 3, Yurou LI1, 3
Affiliations
  • 1.College of Landscape Architecture, Central South University of Forestry & Technology, Changsha 410004, Hunan, China
  • 2.Art and Design College, Hunan City University, Yiyang 413000, Hunan, China
  • 3.Hunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Changsha 410004, Hunan, China
Published: 2026-06-25 doi: 10.14067/j.cnki.1673-923x.2026.06.019
Outline
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【Objective】

This study examined the spatial heterogeneity of 20 traditional villages in Meishan from a multiscale perspective, analyzes the spatial correlation with cultural heritage, and proposed preservation strategies for traditional village conservation and cultural continuity based on the village type identification of natural-cultural factors.

【Method】

Utilizing ArcGIS, production-living-ecological space classification, and bivariate local spatial autocorrelation, spatial heterogeneity of villages and their spatial correlation with cultural heritage were analyzed, the characteristics of traditional villages through K-means clustering were classified.

【Result】

1) Spatial distribution of villages follows strong topographic and functional orientations, 75% are located in plain-hilly areas with slopes of 10°-20° and elevations below 500 m, all near water, and 85% in medium and low geological hazard zones. Five layout types are identified: waterfront linear, axial extension, terraced slope, clustered aggregation, and multi-nuclei group pattern. Ecological space accounted for the largest proportion, while living and production spaces correlates with village function and spatial layout; 2) Cultural heritage exhibits a “large agglomeration, small dispersion” pattern, with weak spatial dependency on villages, only 15% of villages are in high-high clusters, 40% in high-low clusters, 45% in non-significant clusters; 3) Based on clustering of natural and cultural factors, villages are categorized into four typical groups: high risk, culture enriched, ecologically constrained, and moderately balanced.

【Conclusion】

Meishan villages possess a premium natural foundation and stable geological conditions, their spatial pattern demonstrating significant adaptation to the topographic features, but they show weak linkages to cultural heritage, and exhibit significant negative spatial correlation. This requires differentiated protection strategy, through strengthened graded risk management and heritage resource integration to fulfill the spatial governance requirements for the harmonious coexistence of nature and culture.

spatial autocorrelation  /  K-means clustering  /  production-living-ecological space  /  village conservation  /  cultural continuity
黄雪嘉, 沈守云, 廖秋林, 韦宝婧, 李雨柔. 梅山地区传统村落多尺度空间分异及类型识别. 中南林业科技大学学报, 2026 , 46 (6) : 200 -213 . DOI: 10.14067/j.cnki.1673-923x.2026.06.019
Xuejia HUANG, Shouyun SHEN, Qiulin LIAO, Baojing WEI, Yurou LI. Multiscale spatial heterogeneity and type identification of traditional villages in Meishan area[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (6) : 200 -213 . DOI: 10.14067/j.cnki.1673-923x.2026.06.019
Year 2026 volume 46 Issue 6
16
3
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Article Info
doi: 10.14067/j.cnki.1673-923x.2026.06.019
  • Receive Date:2025-06-09
  • Online Date:2026-10-30
  • Published:2026-06-25
Article Data
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History
  • Received:2025-06-09
  • Revised:2025-09-17
Funding
Affiliations
    1.College of Landscape Architecture, Central South University of Forestry & Technology, Changsha 410004, Hunan, China
    2.Art and Design College, Hunan City University, Yiyang 413000, Hunan, China
    3.Hunan Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Changsha 410004, Hunan, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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