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

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,...

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Main Authors: Erlong Liu, Jian Zhang, Haonan Chi
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023106177
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author Erlong Liu
Jian Zhang
Haonan Chi
author_facet Erlong Liu
Jian Zhang
Haonan Chi
author_sort Erlong Liu
collection DOAJ
description 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.
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spelling doaj.art-4492f16a9902424faa9705874e01c5052024-02-01T06:31:46ZengElsevierHeliyon2405-84402024-01-01101e23409Spatial distribution and driving factors of Chinese dragon and lion dance athletes based on GISErlong Liu0Jian Zhang1Haonan Chi2Department of Physical Education, Xi'an University of Architecture and Technology, Xi'an, 710055, ChinaCorresponding author.; Department of Physical Education, Xi'an University of Architecture and Technology, Xi'an, 710055, ChinaDepartment of Physical Education, Xi'an University of Architecture and Technology, Xi'an, 710055, ChinaAs 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.http://www.sciencedirect.com/science/article/pii/S2405844023106177Dragon and lion dance athletesSpatial distributionGeographical detectorInteraction factor
spellingShingle Erlong Liu
Jian Zhang
Haonan Chi
Spatial distribution and driving factors of Chinese dragon and lion dance athletes based on GIS
Heliyon
Dragon and lion dance athletes
Spatial distribution
Geographical detector
Interaction factor
title Spatial distribution and driving factors of Chinese dragon and lion dance athletes based on GIS
title_full Spatial distribution and driving factors of Chinese dragon and lion dance athletes based on GIS
title_fullStr Spatial distribution and driving factors of Chinese dragon and lion dance athletes based on GIS
title_full_unstemmed Spatial distribution and driving factors of Chinese dragon and lion dance athletes based on GIS
title_short Spatial distribution and driving factors of Chinese dragon and lion dance athletes based on GIS
title_sort spatial distribution and driving factors of chinese dragon and lion dance athletes based on gis
topic Dragon and lion dance athletes
Spatial distribution
Geographical detector
Interaction factor
url http://www.sciencedirect.com/science/article/pii/S2405844023106177
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