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A Spatialization Method for Production Value of Economic Sector in Changsha, China

机译：中国长沙经济部门生产价值的空间化方法

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One of the most challenging tasks is analyzing the laws of economic development from the space perspective. To lay the foundation for the task, it needs the relatively accurate production value distribution in the space. For this destination, the method of Classification and Regression Tree (CART) is used to quantify the contribution rates that impact factors to the total output value, and then kernel density estimation (KDE) is employed to evaluate the spatial density based on the contribution rates and the counts of economic sectors in the space. According to the spatial density, the output value is assigned to the space grids. This article takes the total production value of the sector of post, communication, and transportation for instance, the results show the sequence from high to low that contribution rates of impact factors to the total output value is railway > road > communication > water transport > air transport > postal service; the final distribution of production value after the ratio correction displays the extremely imbalance pattern of the output value of this sector in Changsha.
机译：最具挑战性的任务之一是从空间角度分析经济发展规律。要为任务奠定基础，它需要在空间中的相对准确的生产价值分布。对于此目的地，分类和回归树（推车）的方法用于量化影响因素对总输出值的贡献速率，然后采用内核密度估计（KDE）来评估基于贡献率的空间密度以及空间中经济部门的计数。根据空间密度，输出值被分配给空间网格。本文采用邮政，通信和运输部门的总产值，结果表明序列从高到低的序列，影响因素的贡献因素对总产值的贡献率是铁路>道路>通讯>水运>航空运输>邮政服务;比率校正后的生产价值的最终分布显示了长沙中该扇区输出值的极其不平衡模式。

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