Characteristics of multi-scale spatiotemporal pattern and influencing factors of Chinese traditional villages
[Objective]The purposes of this study are to explore the spatial and temporal characteristics of traditional villages at different scales in provinces,cities and counties,to analyze the influencing factors of the differences in their spatial distribution,and to provide a theoretical basis and practical guidance for the development and protection of traditional villages.[Methods]Based on 6 batches of 8 155 Chinese traditional villages,mathematical statistics and spatial analyses were used to reveal the characteristics of the evolution of the multi-scale spatial and temporal patterns of the traditional villages.Single-factor probes and multi-factor interactions were used to explore the influencing factors of their spatial distribution.[Results](1)The number of traditional villages rose linearly,mostly concentrated in the east of Hu Huanyong line,was less in the south and less in the north,was more in the southeast and less in the northwest.The overall layout was triangular,and the evolution trend was in the reverse 6-shaped pattern.(2)Based on the county unit of the provincial and municipal traditional villages,the difference of the Terre index was obvious,and there was a big difference in the distribution of traditional villages between provinces and municipalities,and the high value area was concentrated in the east of the Hu Huanyong line.(3)The spatial distribution of traditional villages was mainly affected by the distance from the river,the distance of traffic access,the forest coverage,the density of the population,and the slope,and the interaction of the factors showed a bi-factorial enhancement and nonlinear enhancement,and no independent and weakening relationship existed.[Conclusion]The number of traditional villages in China is increasing,and the overall spatial distribution pattern is more in the south and less in the north,bounded by the Hu Huanyong Line,and influenced by multiple factors such as rivers,traffic and population.
traditional villagesspatiotemporal patternTel indexs
万方数据
维普
