基于ArcGIS的房产价格空间分布研究——以合肥市为例

Study on the Spatial Distribution of Housing Price in Hefei Based on ArcGIS

摘要: 基于合肥市2018年普通住宅房产价格数据和合肥市的主要道路、铁路、地铁、水系等线状要素以及自然用地、教育用地、休闲设施、旅游景点等面状要素数据，利用空间自相关分析、探索性数据分析以及克里格(Kriging)插值方法，对合肥市区房产价格空间格局进行分析；再用缓冲区分析和叠置分析等，对合肥市区房产价格空间格局的影响因素进行分析。研究表明，合肥市区房地产发展在空间上具有明显的集聚特点，房产价格的空间自相关性很明显；房产价格的空间格局与政治因素、教育资源、交通设施、公共服务、自然环境等因素有显著的相关性并且从中心到周边形成岛状的价格梯度形态。

Abstract: Based on Hefei’s 2018 average residential home price data and linear elements data such as main roads, railways, subways and water systems, as well as surface elements data such as natural land, education land, leisure facilities, tourist attractions in Hefei, etc., using spatial autocorrelation analysis, exploratory data analysis and Kriging interpolation methods, the spatial distribution of housing price in downtown Hefei is analyzed. The factors influencing the spatial pattern of real estate price in Hefei city are analyzed by buffer analysis and stacking analysis. Studies show that: Hefei real estate development in space has obvious agglomeration characteristics and housing prices of spatial autocorrelation are obvious. There is a significant correlation between the spatial distribution of housing prices and political factors, educational resources, transport infrastructure, public services, natural environment. Housing price has made up a gradient shape island from the center to the periphery.