收稿日期: 2019-05-12
修回日期: 2019-09-24
网络出版日期: 2020-03-25
基金资助
教育部人文社会科学研究规划项目（10YJA910010）；四川省教育厅重点项目（16ZA0312）；内江师范学院科研项目（17JC03）；陕西省农业科技攻关项目（2011K02-11）资助
Comprehensive measurements and principle component analysis of the spatiotemporal evolution of economic density in Chongqing City,China
1 School of Geography and Resources Science of Neijiang Normal University,Neijiang 641100,Sichuan,China; 2 College of Urban and Environmental Science,Northwest University,Xi[JP8]’[JP]an710127,Shaanxi,China
Received date: 2019-05-12
Revised date: 2019-09-24
Online published: 2020-03-25
经济密度是衡量区域经济发展水平和聚集程度的重要指标之一。以重庆市38个县（区）所辖范围为研究区，建立了人均和地均相结合的综合测度指标体系，采用主成分分析确定指标权重，将PCATOPSIS评价法运用到经济密度综合测度中，依据测度对象与最优值的相对接近程度，综合测度1997年、2001年、2006年和2013年重庆市县域经济密度，获得各个时间断面经济密度综合指数及其排名。通过利用ArcGIS制图功能绘制重庆市经济密度等级分布图，揭示其空间分异演变规律，利用Moran’s I，LISA和热点分析分别探索了县域经济密度的全局和局部空间自相关及其时空演变规律，并讨论影响经济密度高低的主要因素。通过对县域经济密度的综合测度及时空演变的探究，为实现城市科学定位和制定中长期发展战略提供科学依据。
关键词： 经济密度; 综合测度; 时空演变; PCA-TOPSIS; 县域
张彬, 谢贤健, 杨联安, 郭金铭
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基于PCA-TOPSIS的重庆市县域经济密度综合测度及时空演变
[J]. 干旱区地理, 2020
Economic density is one of the most important indicators of regional economic development and agglomeration.We studied 38 counties in Chongqing City,China and developed a model for a comprehensive measure based on per capita and land factors.The weights of measure indicators were determined by principal component analysis.Principle component analysis with the technique for order preference by similarity to ideal solution was applied to measure economic density.Our metric of economic density was based on the Euclidean distance between the object value and its optimal value and worst value.The economic density composite index and ranking were obtained for each object.We used GIS to generate maps of economic density distributions in Chongqing City,which revealed changes in the spatial patterns of economic density over time.We used the rule of spatiotemporal variation of global and local spatial autocorrelation on county economic density as an opportunity to discuss the main factors affecting the levels of economic density.We identified three major findings: (1) the comprehensive economic density indices were calculated and ranked for 38 counties during four time periods.Economic density generally increased over time,while internal differences gradually decreased.(2) In terms of its overall distribution,economic density in Chongqing decreased from the center and northwest to the northeast and southeast.The distributions in areas with high economic density in the central region were significantly different from those with low density in the surrounding areas.(3) From the perspective of spatial autocorrelation,the Moran’s I index was greater than 0,showing a positive correlation,suggesting that economic density tended to gather in space.Moreover,the urban areas characterized by LH-type gradually decreased,and economic density became more spatially polarized.Hotspots and sub-hotspots of economic density were mainly distributed in the western part of Chongqing,while the secondary coldspots and sub-coldspots were mainly distributed in the east.The results of this study provide a scientific basis for the city’s strategies for long-term development.
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