EGU2020-5479, updated on 17 Nov 2021
EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Spatial Distribution of Chinese Traditional Villages and its Influencing Factors

Yunong Wu1,2, Bin Zhang1,2, Burghard C. Meyer3, Duo Xie1,2, Yong Zeng1,4, Wenjie Xu1,2, Yulian Pan1,2, and Guoliang Liu1,2
Yunong Wu et al.
  • 1Landscape Architecture Department, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan , China (;;;;
  • 2Key Laboratory of Urban Agriculture in Central China, Ministry of Agriculture and Rural Affairs, Wuhan, China (
  • 3Institute of Geography, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany (
  • 4College of Plant Science, Tarim University, Alaer Xinjiang, China (

Abstract: Chinese Traditional Villages (TV) were selected from millions of villages based on their important historical and cultural heritage value. The distribution of TV characterized by spatial differentiation is subject to complex and diverse influencing factors. This study takes 6819 TV in China (as of the end of 2019) as research objects to analyse the distribution density of TV in different provinces; the spatial autocorrelation module in ArcGIS' spatial statistical tool was used to analyse the distribution characteristics; a total of 9 factors were selected from the three indicator groups of climate, geography and humanities, and introduced into the clustering and outlier analysis (Anselin Local Moran's I) module to analyse their spatial relationships with TV distribution. The results show that: 1. The spatial distribution of Chinese TV presents an obvious uneven aggregation state. Among them, the highest distribution density was 10.18 per 10,000 km² in Zhejiang province, while less than 0.5 per 10,000 km² in Inner Mongolia, Heilongjiang, Tibet and Xinjiang. The Global Moran's I index of TV distribution is 0.352, and the z-value of normal statistic is 949.76, which has a strong spatial autocorrelation. 2. The distribution of TV is mainly interpreted by humidity index, annual average temperature, elevation, slope, cultural relics, and population. 3. The results of clustering and outlier show that there are significant differences in the effect of the influencing factors on the distribution of TV in different regions. This paper aims to understand the influencing factors that affect the spatial distribution of TV in China and provide more comprehensive research content. This study indicates the importance of further cross-regional analysis of the TV distribution and provides a reference for its environmental management and protective measures and policies.

How to cite: Wu, Y., Zhang, B., Meyer, B. C., Xie, D., Zeng, Y., Xu, W., Pan, Y., and Liu, G.: Spatial Distribution of Chinese Traditional Villages and its Influencing Factors, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5479,, 2020.


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