Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API.
This paper examines the spatial distribution pattern and influencing factors of Martial Arts Schools (MASs) based on Baidu map data and Geographic Information System (GIS) in China. Using python to obtain the latitude and longitude data of the MASs through Baidu Map API, and with the help of ArcGIS...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0314588 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850190249980854272 |
|---|---|
| author | Pengfei Yu Xiaoming Yang Qi Guo Jianliang Guan Guohua Chen |
| author_facet | Pengfei Yu Xiaoming Yang Qi Guo Jianliang Guan Guohua Chen |
| author_sort | Pengfei Yu |
| collection | DOAJ |
| description | This paper examines the spatial distribution pattern and influencing factors of Martial Arts Schools (MASs) based on Baidu map data and Geographic Information System (GIS) in China. Using python to obtain the latitude and longitude data of the MASs through Baidu Map API, and with the help of ArcGIS (10.7) to coordinate information presented on the map of China. By harnessing the geographic latitude and longitude data for 492 MASs across 31 Provinces in China mainland as of May 2024, this study employs a suite of analytical tools including nearest neighbor analysis, kernel density estimation, the disequilibrium index, spatial autocorrelation, and geographically weighted regression analysis within the ArcGIS environment, to graphically delineate the spatial distribution nuances of MASs. The investigation draws upon variables such as martial arts boxings, Wushu hometowns, intangible cultural heritage boxings of Wushu, population education level, Per capita disposable income, and population density to elucidate the spatial distribution idiosyncrasies of MASs. (1) The spatial analytical endeavor unveiled a Moran's I value of 0.172, accompanied by a Z-score of 1.75 and a P-value of 0.079, signifying an uneven and clustered distribution pattern predominantly concentrated in provinces such as Shandong, Henan, Hebei, Hunan, and Sichuan. (2) The delineation of MASs exhibited a prominent high-density core centered around Shandong, flanked by secondary high-density clusters with Hunan and Sichuan at their heart. (3) Amongst the array of variables dissected to explain the spatial distribution traits, the explicative potency of 'martial arts boxings', 'Wushu hometowns', 'intangible cultural heritage boxings of Wushu', 'population education level', 'Per capita disposable income', and 'population density' exhibited a descending trajectory, whilst 'educational level of the populace' inversely correlated with the geographical dispersion of MASs. (4) The entrenched regional cultural ethos significantly impacts the spatial layout of martial arts institutions, endowing them with distinct regional characteristics. |
| format | Article |
| id | doaj-art-99d64b804c6d48379e4e5826cba0b01d |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-99d64b804c6d48379e4e5826cba0b01d2025-08-20T02:15:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01203e031458810.1371/journal.pone.0314588Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API.Pengfei YuXiaoming YangQi GuoJianliang GuanGuohua ChenThis paper examines the spatial distribution pattern and influencing factors of Martial Arts Schools (MASs) based on Baidu map data and Geographic Information System (GIS) in China. Using python to obtain the latitude and longitude data of the MASs through Baidu Map API, and with the help of ArcGIS (10.7) to coordinate information presented on the map of China. By harnessing the geographic latitude and longitude data for 492 MASs across 31 Provinces in China mainland as of May 2024, this study employs a suite of analytical tools including nearest neighbor analysis, kernel density estimation, the disequilibrium index, spatial autocorrelation, and geographically weighted regression analysis within the ArcGIS environment, to graphically delineate the spatial distribution nuances of MASs. The investigation draws upon variables such as martial arts boxings, Wushu hometowns, intangible cultural heritage boxings of Wushu, population education level, Per capita disposable income, and population density to elucidate the spatial distribution idiosyncrasies of MASs. (1) The spatial analytical endeavor unveiled a Moran's I value of 0.172, accompanied by a Z-score of 1.75 and a P-value of 0.079, signifying an uneven and clustered distribution pattern predominantly concentrated in provinces such as Shandong, Henan, Hebei, Hunan, and Sichuan. (2) The delineation of MASs exhibited a prominent high-density core centered around Shandong, flanked by secondary high-density clusters with Hunan and Sichuan at their heart. (3) Amongst the array of variables dissected to explain the spatial distribution traits, the explicative potency of 'martial arts boxings', 'Wushu hometowns', 'intangible cultural heritage boxings of Wushu', 'population education level', 'Per capita disposable income', and 'population density' exhibited a descending trajectory, whilst 'educational level of the populace' inversely correlated with the geographical dispersion of MASs. (4) The entrenched regional cultural ethos significantly impacts the spatial layout of martial arts institutions, endowing them with distinct regional characteristics.https://doi.org/10.1371/journal.pone.0314588 |
| spellingShingle | Pengfei Yu Xiaoming Yang Qi Guo Jianliang Guan Guohua Chen Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API. PLoS ONE |
| title | Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API. |
| title_full | Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API. |
| title_fullStr | Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API. |
| title_full_unstemmed | Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API. |
| title_short | Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API. |
| title_sort | spatial distribution characteristics and influencing factors of china martial arts schools based on baidu map api |
| url | https://doi.org/10.1371/journal.pone.0314588 |
| work_keys_str_mv | AT pengfeiyu spatialdistributioncharacteristicsandinfluencingfactorsofchinamartialartsschoolsbasedonbaidumapapi AT xiaomingyang spatialdistributioncharacteristicsandinfluencingfactorsofchinamartialartsschoolsbasedonbaidumapapi AT qiguo spatialdistributioncharacteristicsandinfluencingfactorsofchinamartialartsschoolsbasedonbaidumapapi AT jianliangguan spatialdistributioncharacteristicsandinfluencingfactorsofchinamartialartsschoolsbasedonbaidumapapi AT guohuachen spatialdistributioncharacteristicsandinfluencingfactorsofchinamartialartsschoolsbasedonbaidumapapi |