|本期目录/Table of Contents|

[1]曾雨晴.基于ESDA的房地产投资变化率时空格局变化研究——以成都19个区县为例[J].绵阳师范学院学报,2016,(08):98-104.
 ZENG Yuqing.Study on the Space-time Pattern Change of the Rate of Real Estate Investment Based on ESDA ——Taking 19 Counties of Chengdu for Example[J].Journal of Mianyang Normal University,2016,(08):98-104.
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基于ESDA的房地产投资变化率时空格局变化研究——以成都19个区县为例(PDF)
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《绵阳师范学院学报》[ISSN:1672-612X/CN:51-1670/G]

卷:
期数:
2016年08期
页码:
98-104
栏目:
地理与资源环境科学
出版日期:
2016-08-15

文章信息/Info

Title:
Study on the Space-time Pattern Change of the Rate of Real Estate Investment Based on ESDA ——Taking 19 Counties of Chengdu for Example
文章编号:
1672-612x(2016)08-0098-07
作者:
曾雨晴12
1.四川师范大学西南土地资源评价与监测教育部重点实验室,四川成都 610066;
2.四川师范大学地理与资源科学学院,四川成都 610066
Author(s):
ZENG Yuqing12
1. Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu,Sichuan 610066;
2. Geography and Resources Science College, Sichuan Normal University, Chengdu,Sichuan 610066
关键词:
空间自相关 ESDA Moran's I REI 成都
Keywords:
spatial autocorrelation ESDA Moran's I REI Chengdu
分类号:
P208; F293.3
DOI:
-
文献标志码:
A
摘要:
利用探索性空间数据(ESDA)分析方法并结合GIS、GeoDa软件分析,以区县为空间尺度,分析了2003-2013年间成都19个区县的房地产投资变化率空间格局特征、变化以及空间关联性.研究结果表明:研究期内,房地产投资变化率总体上呈下降趋势,其中2005-2007年间达到最高峰0.985,2007-2009年降至谷底0.057 5; 房地产投资变化率整体上呈空间负相关,相关系数较小,集聚程度较低,空间异质性较强; 从散点图和LISA聚类图看出,19个区县房地产投资变化率显著性区域很少,主要落入LL和HH象限,其中主要是呈低值与低值的集聚,主要分布在成都市中心区域(锦江区和青羊区)、成都市东部区域.
Abstract:
With ESDA(Exploratory Spatial Data Analysis)method, GIS and GeoDa, this paper analyzes the space-time pattern change of the rate of real estate investment from 1978 to 2013, revealing the characteristics, changes and spatial connection of 19 districts and counties of Chengdu. The results showed that: the rate of real estate investment showed downward trend in the overall study period, which reached the peak of 0.985 in 2007-2009, and down to the bottom of 0.0575 in 2005-2007; The real estate investment in the spatial association of the space was negative correlation, whereas the correlation coefficient was small and the degree of spatial clustering was low, indicating the strong spatial heterogeneity; Moran scatter plot and the LISA gathering diagram mostly located in LL and HH quadrant, which were the cluster of the low value to the low value, mainly distributing in center area of Chengdu city(Jinjiang District, Qingyang District), and Eastern region of Chengdu.

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备注/Memo

备注/Memo:
收稿日期:2016-01-19
作者简介:曾雨晴(1990-),女,四川绵竹人,硕士研究生,研究方向:城市土地管理与房地产开发.
更新日期/Last Update: 2016-08-15