Research on the Spatial Distribution of Second-hand House Based on Kernel Density Estimation and Hot Spot Analysis—Taking Guiyang City as an Example
The development and changes of the second-hand housing market are very important for urban renewal and urban planning decision-making.It uses web crawling software to obtain second-hand housing listing data for the first quarter of 2023 in the core area of Guiyang City.Through data organization and spatial visualization,kernel density analysis,hotspot analysis,and K-means clustering methods are used to study and analyze the hot areas and spatial distribution of transactions in the second-hand housing market in the core area of Guiyang City.It is found that the distribution of second-hand housing in the flower and fruit gardens in the old urban area of Guiyang is the most dense,extending along the northeast direction,forming a cluster of second-hand housing sales hotspots.The second-hand housing prices in the areas of Guanshanhu District,Dashixi,fountain,and Jiaxiulou in Guiyang are significantly higher than those in other areas.The average price of second-hand houses in Guanshanhu District is more than 1 000 yuan higher than that in the old urban area.
second-hand housekernel density analysishot spot analysisK-means clustering
国家科技期刊平台
NSTL
万方数据
