This paper takes ethnic minority villages in Yunnan province of China, which have significant characteristics of multi-ethnic integration, as the research object. Through various spatial statistical analysis methods, we analyzed the overall distribution characteristics of ethnic villages in Yunnan, the distribution difference among various ethnic groups, and the influencing factors of the distribution pattern. It was found that: (1) The ethnic minority villages in Yunnan generally exhibit a kernel density characteristic of “three concentrated areas and multiple scattered points” and distribution characteristic of “hot spots in the west and cold spots in the east”. Each ethnic group has a relatively concentrated region, presenting significant ethnic autocorrelation. (2) The differences in the relationship between villages and landscape among various ethnic groups have given rise to a unique three-dimensional distribution pattern, which is relate to ethnic origin and livelihood culture. Meanwhile, Han traditional villages tend to occupy areas with relatively better geographical conditions. (3) Natural factors, such as topographic relief, the distance between ethnic villages and rivers, and elevation, have a significant impact on the distribution of ethnic villages in Yunnan. Meanwhile, test results of social and human factors, including the distance from central cities, per capita GDP, and the gross annual output values of primary industry, indicate that the development of social economy and the promotion of urbanization pose challenges to the preservation of ethnic villages.

Understanding the cultural characteristics and evolution of traditional dwellings in the context of ethnic integration is of great significance for protecting the diversity of residential cultural heritage of ethnic minorities. This article compares the ethnic differences in the internal spatial configuration of vernacular dwellings in Xiangxi region, China, a typical multi-ethnic area where “line-shaped” dwellings are prevalent among the Miao, Dong, Yao, Tujia, and Han groups. This study found that the spatial sequence, ritual axis, importance of fireplace, spatial hierarchy, and privacy of bedrooms of each ethnic group's dwellings present a trend towards Han’s dwelling culture in the order of "Western Miao, Southern Dong, Northern Dong, Yao, Eastern Miao, Tujia". Based on the analysis of the lifestyles, ethnic customs, and historical development processes of ethnic minorities, this study identifies that the main reasons for the formation of the aforementioned sequence lie in the differences in the historical diffusion patterns and paths of Han culture in Xiangxi. This article analyses the ethnicity of minority residential culture in Xiangxi and its spatial configuration formation process, revealing the relationship between the spatial effect of Han cultural diffusion pattern and the spatial difference pattern of each ethnic group's vernacular dwelling space configuration, and expanding the connotation of "cultural genotypes" in multi-ethnic areas.

Traditional grass-roofed dwellings are important components of Chinese vernacular architecture. Building a comprehensive nationwide database of traditional grass-roofed dwellings is crucial for the inherence of this cultural heritage and its traditional ecological technologies. This study proposes classifying traditional Chinese grass-roofed dwellings into three types according to recognizable appearance features. Based on the YOLOv8 deep learning framework, a recognition model is constructed to recognize and spatially locate various grass-roofed dwellings from the image dataset on a county-level. Further, by conducting spatial overlap analysis with a variety of natural and socio-environmental factors on ArcGIS, their influences on the distribution pattern of traditional grass-roofed dwellings were examined. The study findings are as follows: (1) Traditional grass-roofed dwellings are concentrated on the southeast side of the Hu Line with different distribution patterns according to their types. (2) The natural environment influences the original construction and distribution of traditional grass-roofed dwellings in terms of the growth of grass resources and the ecological adaptability of grass material. (3) The development of economy, population, and urbanization pose challenges to the retention of grass-roofed dwellings. This research provides useful references for the precise preservation of various grass-roofed dwellings and introduced a novel approach for the classification of traditional buildings.

The roof is one of the most iconic elements of Chinese vernacular architecture. Accurate and efficient recognition of roof types is essential for the digital documentation, dynamic monitoring, and restoration planning for vernacular architectural heritage. This study proposes a novel object detection technique by integrating the DCNv2, the DyHead and the SIoU to address challenges such as complex morphology, diverse materials, and feature occlusion in roof images. Experiments indicate that YOLOv10-DDS achieves 80.8% and 62.4% on mAP50 and mAP50-95, improving by 2.1% and 1.5% over the baseline model and outperforming other advanced methods. Validation across diverse scenarios confirms that the model maintains high accuracy and adaptability. A three-tier classification system comprising 16 subclasses of Chinese vernacular architectural roofs and a dual-perspective dataset were developed. This study establishes a technical foundation for the preservation and restoration of vernacular architectural heritage, expanding the application scope of object detection in cultural heritage research.