Treffer: Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API.

Title:
Spatial distribution characteristics and influencing factors of China martial arts schools based on Baidu map API.
Authors:
Yu P; Department of Physical Education, School of Physical Education, East China University of Technology, Nanchang, Jiangxi, China., Yang X; College of Physical Education, Putian University, Putian, Fujian, China., Guo Q; Department of Sports Studies, Faculty of Educational Studies, Universiti Putra Malaysia, Serdang, Selangor, Malaysia., Guan J; Department of Economics and Management, Shanghai University of Sport, Shanghai, China., Chen G; Department of Physical Education, School of Physical Education, East China University of Technology, Nanchang, Jiangxi, China.
Source:
PloS one [PLoS One] 2025 Mar 04; Vol. 20 (3), pp. e0314588. Date of Electronic Publication: 2025 Mar 04 (Print Publication: 2025).
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Imprint Name(s):
Original Publication: San Francisco, CA : Public Library of Science
References:
Int J Environ Res Public Health. 2021 Dec 10;18(24):. (PMID: 34948656)
Sci Total Environ. 2022 Oct 1;841:156719. (PMID: 35724790)
BMC Public Health. 2021 Mar 2;21(1):429. (PMID: 33653307)
Stem Cell Reports. 2025 Jan 14;20(1):102372. (PMID: 39642875)
Int J Environ Res Public Health. 2022 Sep 29;19(19):. (PMID: 36231741)
Front Psychol. 2024 Apr 30;15:1391207. (PMID: 38746923)
Entry Date(s):
Date Created: 20250304 Date Completed: 20250511 Latest Revision: 20250511
Update Code:
20250511
PubMed Central ID:
PMC11878914
DOI:
10.1371/journal.pone.0314588
PMID:
40036209
Database:
MEDLINE

Weitere Informationen

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.
(Copyright: © 2025 Yu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The authors have declared that no competing interests exist.