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基于地理信息系统的中国舞龙舞狮运动员空间分布及驱动因素

Spatial distribution and driving factors of Chinese dragon and lion dance athletes based on GIS.

作者信息

Liu Erlong, Zhang Jian, Chi Haonan

机构信息

Department of Physical Education, Xi'an University of Architecture and Technology, Xi'an, 710055, China.

出版信息

Heliyon. 2023 Dec 7;10(1):e23409. doi: 10.1016/j.heliyon.2023.e23409. eCollection 2024 Jan 15.

Abstract

As the common wealth of all mankind, intangible cultural heritage carries the memory of history. The implementation of dragon and lion dance technical grade evaluation can be called pioneering work for the legacy inheritance. The purpose of this study is to analyze the distribution characteristics, trends, types, and driving factors of dragon and lion dance athletes. Athletes who were awarded a grade certificate by Chinese Dragon and Lion Dance Sports Association from 2018 to 2021 were taken as the analysis objects. In ArcGIS10.8, trend surface analysis and standard deviational ellipse are used to study the spatial distribution characteristics. Using the global and local Moran's I in GeoDa, this paper explores the concentration degree and types of dragon and lion dance athletes. The factors driving the distribution difference are analyzed with the help of geographical detectors. Continuous data such as total GDP, sports field areas, permanent populations, and altitude are taken as the software input after preprocessing. The results show that there are significant differences in the distribution of provinces and four geographical regions. For dragon dance athletes, there is a linear growth trend in the west-east direction and an inverted U-shape trend in the south-north direction. For lion dance athletes, there is a trend of log function in the west-east direction and an inverted U shape in the south-north direction. The global Moran's I is 0.2386, and there are obvious characteristics of H-H, L-L, and L-H aggregation types. Nomination of sports intangible cultural heritage, total GDP, permanent resident population, urbanization development level, the number of colleges and universities, and the proportion of tertiary industry are the leading factors, and the explanatory power of interactive factors is significantly enhanced. Therefore, it is suggested to strengthen the cultural heritage protection of dragon and lion dance, increase capital investment, enhance public participation, and raise government attention.

摘要

作为全人类的共同财富,非物质文化遗产承载着历史记忆。龙狮舞技术等级评定的实施堪称遗产传承的开创性工作。本研究旨在分析龙狮舞运动员的分布特征、趋势、类型及驱动因素。选取2018年至2021年获得中国龙狮运动协会等级证书的运动员作为分析对象。在ArcGIS10.8中,运用趋势面分析和标准差椭圆法研究空间分布特征。利用GeoDa中的全局和局部莫兰指数,探究龙狮舞运动员的集聚程度和类型。借助地理探测器分析驱动分布差异的因素。将预处理后的国内生产总值、体育场地面积、常住人口、海拔等连续数据作为软件输入。结果表明,省份和四大地理区域的分布存在显著差异。对于舞龙运动员,东西方向呈线性增长趋势,南北方向呈倒U形趋势。对于舞狮运动员,东西方向呈对数函数趋势,南北方向呈倒U形趋势。全局莫兰指数为0.2386,存在明显的高高、低低和低高集聚类型。体育非物质文化遗产提名、国内生产总值、常住人口、城市化发展水平、高校数量和第三产业比重是主导因素,交互因素的解释力显著增强。因此,建议加强龙狮舞的文化遗产保护,增加资金投入,提高公众参与度,提升政府关注度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d98/10755329/1db2fb253878/gr1.jpg

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