This study uses the web crawler technology to obtain the POI data of facilities for the elders in prefecture-level cities of Hunan Province in 2021,and carries out the coordinate and projection transformation based on ArcGIS to realize data visualization.Based on the above,it uses the nearest neighbor analysis and kernel density analysis to explore the spatial distribution characteristics of facilities for the elders in Hunan Province.According to the consistency coefficient calculation formula and the geographic detector,it explores the concentration degree of facilities for the elders and detects the cause of spatial differentiation of facilities for the elders in prefecture-level cities of Hunan Province.It's found that:1)The overall nearest neighbor index of facilities for the elders is 0.613 in Hunan Province,showing a significantly agglomeration distribution,and the distribution density is generally"dense in the east of Hunan Province and sparse in the west of Hunan Province,dense in the north of Hunan Province and sparse in the south of Hunan Province".2)The consistency of facilities for the elders is obviously different in prefecture-level cities of Hunan Province,and the investment of facilities for the elders and the distribution of the elderly population show weak coordination.3)The factor detection results of the geographic detector show that the number of elderly population,the level of urban economic development and number of healthcare facilities are the main factors affecting the number of facilities for the elders,the number of elderly population is the most essential reason,directly determining the construction of facilities for the elders.4)The interactive detection results of geographic detector show that the distribution of facilities for the elders is affected by multiple factors,and the superposition of the number of elderly population and other factors can produce a stronger explanation for the spatial differentiation of facilities for the elders.
关键词
养老设施/老年人口/POI/医疗保健设施/地理大数据
Key words
the facilities for the elders/elderly population/POI/healthcare facility/geographic bigdata
维普
万方数据