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基于地统计分析的兰州市住宅价格空间分异研究

发表时间:2011-11-15  浏览量:1317  下载量:583
全部作者: 陈强,李丁,余林,汪胜兰,冶小梅
作者单位: 兰州大学资源环境学院;兰州大学西部环境与气候变化研究院
摘 要: 利用统计学中的趋势分析方法对兰州市住宅价格变化趋势进行分析;采用普通克里格(ordinary Kriging)空间插值方法进行空间局部估计,并运用地理信息系统(geographic information system, GIS)技术绘制兰州市住宅小区平均销售价格空间分布趋势图、住宅价格插值图与住宅价格等值线图,以揭示住宅价格的空间分布特点,分析其形成原因。研究表明:1) 兰州市住宅价格的局部空间相关性显著;2) 兰州住宅价格分布的总体特征是“整体带状,局部圈层”,在城市中心及次中心出现住宅价格岛状分布的高值,住宅价格区域差异明显,城区主要道路对住宅价格的影响明显,商务密集区和科技文化密集区对房价具有明显的集聚效应。
关 键 词: 地理学;住宅价格;地统计分析;空间分异;兰州市
Title: Research on spatial disparities of residence prices based on geostatistical analysis: a case study of Lanzhou city
Author: CHEN Qiang, LI Ding, YU Lin, WANG Shenglan, YE Xiaomei
Organization: College of Earth and Environmental Sciences, Lanzhou University; Research School of Arid Environment and Climate Change, Lanzhou University
Abstract: The trend analysis method in geostatistics is presented for the analysis of the spatial variation trend of the residence prices in Lanzhou city. Ordinary Kriging method is adopted to estimate local character of the residence prices, and the spatial distribution thematic map, the interpolation map and the contour map on the residence prices are drawn by ArcGIS software. According to the maps, the spatial distribution characteristics and spatial disparities of residence prices in Lanzhou city and its causes of formation are explored. The results show that the residence price has some interesting relationship with the development of the city itself; the most striking feature of residence price in Lanzhou is that the overall distribution of residence prices likes a ribbon and shows a series of circle layers in parts of city. The high value of price lies in centre and sub-centre in Lanzhou. There are obvious differences in different zones. The main roads of the city have a significant impact on residence prices. Business intensive areas and technology�culture intensive areas have a significant agglomeration effect on residence prices.
Key words: geography; residence prices; geostatistical analysis; spatial variation; Lanzhou city
发表期数: 2011年11月第21期
引用格式: 陈强,李丁,余林,等. 基于地统计分析的兰州市住宅价格空间分异研究[J]. 中国科技论文在线精品论文,2011,4(21):1931-1937.
 
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