Abstract
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.
Highlights
Football fields are the material basis for the development of football and are important parts of the national activity venues [1,2]
(3) In the local scale, the regional discrepancy and spatial clusters were confirmed in the local spatial autocorrelation analysis for football fields in Wuhan
The calculation formula is as follows: 2.3.2 The analysis on local spatial autocorrelation Global spatial autocorrelation is essentially a global average measure in space, which can't reflect the spatial association among local regions
Summary
Football fields are the material basis for the development of football and are important parts of the national activity venues [1,2]. People’s enthusiasm for participating in football has gradually increased. Improving the degree of participation in football and the number of people involved are important approaches to build China into a world sports power. Our country is facing the problems of insufficient supply and unreasonable spatial distribution for football field facilities, which restricts the sustainable development of football [3,4]. Few studies have discussed the distribution patterns of football fields, especially at county level
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