Spatial Distribution Characteristics and Influencing Factors of Hakka Traditional Villages in Fujian, Guangdong, and Jiangxi, China

Abstract

Hakka traditional villages are an important segment of traditional Chinese villages. Analysis of the process of selection of a Hakka site can deepen our knowledge of Hakka culture. In this study, we selected Hakka traditional villages in Fujian, Guangdong, and Jiangxi provinces as research sites. We extracted basic data for these traditional villages using geographic information system coordinates, identified several potential influencing factors, and analyzed correlations among the factors using the R language. Finally, the degree of influence of each factor on the site selection of Hakka traditional villages in the study area was determined using a geographic probe to confirm the dominant factors. The results showed that Hakka traditional villages in Fujian, Guangdong, and Jiangxi had an overall significant clustered distribution. Distance to water, elevation, and vegetation richness were the dominant factors influencing the location of Hakka villages, while the interaction of multiple factors had a facilitating effect on the location of Hakka village foundations. This study utilized the observed distribution of Hakka villages in different regions and the differences between them resulting from the interaction of influencing factors, combined with data analysis, to provide a theoretical basis for the development and protection of Hakka traditional villages.

Spatial distribution characteristics and influencing factors of traditional villages based on geodetector: Jiarong Tibetan in Western Sichuan, China

“…The effects of population and transportation are similar to other studies by Chen 42 , Li 12 , Xie 54 and others. However, it should be noticed that the poor accessibility of traditional villages also maps the psychology of the ancient Jiarong Tibetans in pursuit of residential security.…”

“…Meanwhile, with digital technologies such as ArcGIS and CIM becoming more and more mature, the exploration about the driving mechanism of spatial distribution is getting deeper. Based on ArcGIS, Geodetector, Multi-scale Geography Weighted Regression (MGWR) to carry out the study of spatial differentiation 15 , 53 , 54 , geographic pattern 44 , 51 , and spatio-temporal evolution 46 , 55 , 56 of traditional villages, which facilitates the identification with the core influences. These are currently effective means for quantitatively analyzing the distributional characteristics and formation of traditional villages.…”

Sustainable farming genes: spatial distribution and influencing factors of Chinese Agricultural Heritage Sites (CAHSs)

“…Nineteen GIAHSs in China are collected from FAO, 1 114 AHSs and 399 PAHSs are collected from the Ministry of Agriculture of China. 2 Previous studies have found that cultural heritage distribution was affected by many factors, such as natural factors, society, economy, and culture (Jin et al, 2022;Nie et al, 2022;Xie et al, 2022). We collect the potential influencing factors and classified them into two dimensions, namely, natural factors (i.e., annual average temperature, annual average precipitation, elevation, soil, and river) and human factors (i.e., economy, population, and culture), and explore the pattern and rule of CAHSs distribution.…”

“…This technique has been widely used to analyze the correlation between various cultural heritages and physical, cultural, and socio-economic factors, such as archaeological sites (Yagoub, and Al yammahi, A. A., 2022), historic villages (Jin et al, 2022;Xie et al, 2022), industrial heritage (Zhang et al, 2022), and intangible heritage (Nie et al, 2022).…”

Migration and Land Exploitation from Yuan to Qing Dynasties: Insights from 252 Traditional Villages in Hunan, China

“…Scholars have studied traditional villages in terms of their spatial characteristics, cultural landscape, value assessment, conservation, and tourism development, building a relatively comprehensive knowledge system of cultural heritage regarding traditional villages [4][5][6][7][8][9][10]. Furthermore, scholars have studied the spatial distribution of traditional villages in Hunan using kernel density analysis, the nearest neighbor index, and spatial autocorrelation analysis [11][12][13][14]. However, few researchers have studied the historical stages of the development of traditional villages in Hunan, and little is known about the historical background reflected by the evolutionary pattern and changes in traditional villages.…”