Analysis of spatial distribution characteristics and driving factors of ethnic-minority villages in China using geospatial technology and statistical models

This study aims to reveal the spatial structural characteristics of 1,652 Ethnic-Minority Villages (EMV) in China and to analyze the mechanisms driving their spatial heterogeneity. EMV are a special type of settlement space that preserve a large number of historical traces of the ethnic culture of a...

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Veröffentlicht in:Journal of mountain science 2024-08, Vol.21 (8), p.2770-2789
Hauptverfasser: Shao, Dandan, Zoh, Kyungjin
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description This study aims to reveal the spatial structural characteristics of 1,652 Ethnic-Minority Villages (EMV) in China and to analyze the mechanisms driving their spatial heterogeneity. EMV are a special type of settlement space that preserve a large number of historical traces of the ethnic culture of ancient China. They are important carriers of China’s excellent traditional culture and are key to the implementation of rural revitalization strategies. In this study, 1652 EMV in China were selected as the research subjects. The Nearest Neighbor Index, kernel density, and spatial autocorrelation index were employed to reveal the spatial structural characteristics of minority villages. Neural network models, spatial lag models, and geographical detectors were used to analyze the formation mechanism of spatial heterogeneity in EMV. The results indicate that: (1) EMV exhibit significant spatial differentiation characterized by “single-core with multiple surrounding sub-centers,” “polarization between east and west,” “decreasing quantity from southwest to east coast to northeast to northwest,” and “large dispersion with small agglomeration.” (2) EMV are mainly distributed in areas rich in intangible cultural heritage, with high vegetation coverage and low altitude, far from central cities, and having limited arable land and an underdeveloped economy and transportation, particularly in shaded or riverbank areas. (3) Distance from the nearest river (X3), distance from central cities (X8), national intangible cultural heritage (X9), and NDVI (X10) were the main driving factors affecting the spatial distribution of EMV, whereas elevation (X1) and GDP (X5) had the weakest influence. As EMV are a relatively unique territorial spatial unit, the identification of their spatial heterogeneity characteristics not only deepens the research content of settlement geography, but also involves the assessment, protection, and development of Minority Villages, which is of great significance for the inheritance and utilization of excellent ethnic cultures in the era.
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source Alma/SFX Local Collection; SpringerLink Journals - AutoHoldings
subjects Agricultural land
Arable land
Autocorrelation
Cities
City centres
Cultural heritage
Cultural resources
Culture
Detectors
Distance
Earth and Environmental Science
Earth Sciences
Ecology
Environment
Ethnic factors
Geography
Heterogeneity
Low altitude
Minority & ethnic groups
Neural networks
Original Article
Patchiness
Plant cover
Regeneration
River banks
Riverbanks
Spatial analysis
Spatial distribution
Spatial heterogeneity
Statistical models
Technology assessment
Villages
title Analysis of spatial distribution characteristics and driving factors of ethnic-minority villages in China using geospatial technology and statistical models
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