论文标题

基于重力模型的空间自相关分析的集成框架

An Integrated Framework of Spatial Autocorrelation Analysis Based on Gravity Model

论文作者

Chen, Yanguang

论文摘要

空间相互作用和空间自相关是地理空间分析的两个不同领域,揭示了两个领域之间的内部关系将有助于发展地理分析的理论和方法。本文致力于通过数学推导从重力模型中推导出一个空间相关分析模型的系统。主要结果如下。首先,一组势能测量来自重力模型。其次,基于势能公式的二次形式构建了一对相关方程,包括内部产物方程和外乘积方程。第三,包括Moran指数和Getis-ord指数在内的一系列空间自相关统计量来自势能公式。第四,分形维的概念被引入空间重量矩阵中。使用城市系统的观察数据用于进行经验分析,证明了新得出的模型的应用程序。可以得出一个结论,即空间自相关实际上植根于空间相互作用过程,并且可以通过将空间自相关模型和重力模型整合到同一框架中来开发空间分析的改进方法。

Spatial interaction and spatial autocorrelation are two different fields of geo-spatial analysis, revealing the internal relationship between the two fields will help to develop the theory and method of geographical analysis. This paper is devoted to deducing a system of spatial correlation analysis models from the gravity model by mathematical derivation. The main results are as follows. First, a set of potential energy measurements are derived from the gravity model. Second, a pair of correlation equations, including an inner product equation and an outer product equation, are constructed based on the quadratic form of potential energy formula. Third, a series of spatial autocorrelation statistics, including Moran's index and Getis-Ord's index are derived from the potential energy formula. Fourth, the concept of fractal dimension is introduced into spatial weight matrix. The observational data of urban systems are employed to make an empirical analysis, demonstrating the application procedure of newly derived models. A conclusion can be drawn that spatial autocorrelation is actually rooted in spatial interaction process, and an improved methodology of spatial analysis can be developed by integrating spatial autocorrelation models and gravity model into the same framework.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源