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Geographic information system spatial analysis of urban and regional development in China: A case study of Guangdong province.

机译:中国城市和区域发展的地理信息系统空间分析:以广东省为例。

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摘要

This research focuses on the application of geographic information systems (GIS) and spatial analysis methods to urban and regional development studies. GIS-based spatial modeling approaches have recently been used in examining regional development disparities and urban growth. Through the cases of Guangdong province and the city of Dongguan, the study employs a spatial-temporal, multiscale, and multimethodology approach in analyzing geographically referenced socioeconomic and remote sensing data.;A general spatial data analysis framework is set through a study of regional development in China's Guangdong province and urban growth in the city of Dongguan. Three intensive spatial statistical analyses are carried out. First, the dissertation investigates the spatial dynamics of regional inequality through Markov chains and spatial Markov-chain analyses. In so doing, it addresses the effect of self-reinforcing agglomeration on regional disparities. Multilevel modeling is further employed to evaluate the relative importance of regional development mechanisms in Guangdong. Second, a spatial filtering perspective is employed for understanding the spatial effects on multiscalar characteristics of regional inequality in Guangdong. Spatial panel and space-time regression models are integrated to detail the spatial and temporal heterogeneity of underlying mechanisms behind regional inequality. Third, drawing upon a set of high-quality remote sensing data in the city of Dongguan, the dissertation analyzes the spatial-temporal dynamics and spatial determinants of urban growth in a rapid industrializing area. Through the application of landscape metrics, three types of urban growth, including infill, spontaneous, and edge expansion, are distinguished, addressing the diverse spatial patterns at different stages of urban growth. A spatial logistic approach is further developed to model the spatial variations of urban growth determinants within the Dongguan city.;In short, the dissertation finds that regional inequality in the Guangdong province is sensitive to spatial scales, dependence, and the core-periphery structure therein. The evolution of inequality can hardly be simplified into either convergence or divergence trajectories. Furthermore, development mechanisms and urban growth determinants are apparently different in space and are sensitive to spatial hierarchies and regimes. Overall, through the application of GIS spatial modeling techniques, the dissertation has provided more valuable information about spatial effects on China's urban and regional development under economic transition and highlights the importance of taking into consideration spatial dimensions in urban and regional development studies.
机译:这项研究的重点是地理信息系统(GIS)和空间分析方法在城市和区域发展研究中的应用。基于GIS的空间建模方法最近已用于检查区域发展差异和城市增长。本研究以广东省和东莞市为例,采用时空,多尺度,多方法的方法来分析地理参考的社会经济和遥感数据。中国广东省和东莞市的城市发展。进行了三个密集的空间统计分析。首先,本文通过马尔可夫链和空间马尔可夫链分析研究了区域不平等的空间动力学。这样做可以解决自我强化的集聚对区域差异的影响。进一步采用多层次建模来评估广东区域发展机制的相对重要性。其次,从空间过滤的角度来理解空间对广东地区不平等的多尺度特征的影响。集成了空间面板和时空回归模型,以详细说明区域不平等背后潜在机制的时空异质性。第三,利用东莞市的一组高质量遥感数据,分析了快速工业化地区城市发展的时空动态和空间决定因素。通过应用景观度量,可以区分三种类型的城市增长,包括填充,自发和边缘扩展,以解决城市增长不同阶段的不同空间格局。进一步发展了一种空间逻辑方法,对东莞市内城市增长决定因素的空间变化进行建模。简而言之,本文发现广东省的区域不平等对空间规模,依存度及其核心-外围结构敏感。 。不平等的演变很难简化为收敛或发散轨迹。此外,发展机制和城市增长决定因素在空间上显然是不同的,并且对空间等级和制度很敏感。总体而言,本文通过应用GIS空间建模技术,为经济转型时期中国城市和区域发展的空间效应提供了更多有价值的信息,并强调了在城市和区域发展研究中考虑空间维度的重要性。

著录项

  • 作者

    Liao, Haifeng.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Geography.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 156 p.
  • 总页数 156
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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