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利用第6次全国体育场地普查福建省84个县域数据,以及其他经济社会数据,运用探索性空间数据分析(ESDA)方法和地理加权回归(GWR)模型,探索县域体育场地发展的空间特征及其影响因子.研究表明:福建县域体育场地面积(存量)发展在空间上存在集聚分布特征,而人均场地面积(相对量)在空间上则呈随机分布;东部沿海县域的场地面积发展快于内陆山区,而南部内陆山区又快于北部;构建的GWR模型拟合效果优于OLS回归模型,提高了对县域场地面积的解释力;与县域场地面积相比,影响县域人均场地面积发展的因素更为复杂.
Based on the survey of 84 counties in Fujian Province and other economic and social data at the 6th National Stadium, exploratory spatial data analysis (ESDA) and geo-weighted regression (GWR) models were used to explore the spatial characteristics of the development of county sports venues and their The research shows that the development of the area (stock) of stadiums in Fujian counties has the characteristics of spatial distribution and the spatial distribution of per capita space is random, while that of the eastern coasts is faster than that of the inland The mountainous areas in the southern inland are faster than the northern ones. The fitting effect of the GWR model is better than that of the OLS regression model, which improves the explanatory power of the area of the county site. Compared with the area of the county area, the factors affecting the per capita area of the county area More complicated.