| Issue |
E3S Web Conf.
Volume 293, 2021
2021 3rd Global Conference on Ecological Environment and Civil Engineering (GCEECE 2021)
|
|
|---|---|---|
| Article Number | 02051 | |
| Number of page(s) | 5 | |
| Section | Environmental Energy and Civil Engineering and Water Conservancy Construction | |
| DOI | https://doi.org/10.1051/e3sconf/202129302051 | |
| Published online | 23 July 2021 | |
Analysis on spatial distribution pattern of football fields: A case study in Wuhan, China
School of Artificial Intelligence, Jianghan University, Wuhan 430056, China
* Corresponding author: weberwang@jhun.edu.cn
In order to promote the sustainable development of sports facilities, the statistical data of football fields in 13 districts of Wuhan city were selected. Based on geographic information system (GIS) and exploratory spatial data analysis (ESDA) technology, this paper analyzed the global and local autocorrelation of the number of football fields per capita in Wuhan city. The results indicate that: (1) Comparing to the new districts in Wuhan, the number of football fields per capita in the central districts was relatively few. (2) In the global scale, the number of football fields per capita in Wuhan presented a spatial aggregation pattern. (3) In the local scale, the regional discrepancy and spatial clusters were confirmed in the local spatial autocorrelation analysis for football fields in Wuhan. At the same time, the research results could provide reasonable references for the planning of football field facilities.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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