Spatial Distribution of National Traditional Villages in Huizhou Cultural Ecological Reserve and Its Influencing Factor Identification

FANG Qunli; LI Zao; HUANG Liang

doi:10.3724/j.gyjzG22022507

Volume 54 Issue 12

Dec. 2024

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2024 > 54(12): 105-113

REN Jinlong, RONG Muning, XING Yunlin, ZHENG Ming, NIE Xin, FAN Jiansheng, LIU Yufei. Micro Vibration Test and Analysis in Experiment Hall of Beijing High Energy Photon Source Facility Induced by Artificial Frequency Sweep Excitation[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(1): 61-67. doi: 10.3724/j.gyjzG23022008

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FANG Qunli, LI Zao, HUANG Liang. Spatial Distribution of National Traditional Villages in Huizhou Cultural Ecological Reserve and Its Influencing Factor Identification[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(12): 105-113. doi: 10.3724/j.gyjzG22022507

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Spatial Distribution of National Traditional Villages in Huizhou Cultural Ecological Reserve and Its Influencing Factor Identification

doi: 10.3724/j.gyjzG22022507

FANG Qunli^1,2,
LI Zao^{3
,
,},
HUANG Liang⁴

1. School of Architecture and Civil Engineering, Huangshan University, Huangshan 245041, China;
2. Faculty of Innovation and Design, City University of Macau, Macau 999078, China;
3. Anhui Jianzhu University, Hefei 230000, China;
4. Xuancheng Real Estate Registration Center, Xuancheng 242000, China

Received Date: 2022-02-25
Available Online: 2025-01-04
Publish Date: 2024-12-20

Abstract

Abstract

In the context of rural revitalization strategy, the national traditional villages in Huizhou Cultural Ecological Reserve was taken as the research object, the spatial distribution characteristics and spatial heterogeneity of traditional villages with kernel density and spatial autocorrelation were analyzed, the factors influencing the spatial distribution of traditional villages with the geographically weighted regression model were explored. The results showed that the traditional villages belonged to the same Hui cultural ecosystem and had similar climatic conditions, production, lifestyle and traditional customs, but their distribution showed uneven and significant spatial heterogeneity; the spatial distribution was affected by natural environment, social environment, economic environment, traffic environment and urban environment and other factors; the spatial distribution was discussed from regional perspective so as to provide suggestions for the overall development and differential protection of traditional villages in Huizhou Cultural Ecological Reserve.
- Huizhou traditional villages,
- geographically weighted regression,
- spatial autocorrelation,
- kernel density estimation,
- rural vitalization

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References(30)

References

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