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Urban and rural employment post distribution characteristic analysis system

A technology of distribution characteristics and analysis system, applied in the field of data analysis, can solve problems such as lack of integration, weak system, unfavorable selection, research and application, etc., to achieve the effect of improving accuracy, describing accurately and intuitively, and solving one-sidedness

Pending Publication Date: 2022-05-27
TONGJI UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

The main problem is that these methods are not systematic, lack of integration, and it is difficult for a single method to fully reflect the distribution characteristics of employment positions, and the research on their applicable characteristics is not sufficient, which is not conducive to the selection, research and application of other researchers and planners

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  • Urban and rural employment post distribution characteristic analysis system
  • Urban and rural employment post distribution characteristic analysis system
  • Urban and rural employment post distribution characteristic analysis system

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Embodiment Construction

[0035]In order to make the technical means, creation features, goals and effects realized by the present invention easy to understand, a system for analyzing the distribution characteristics of urban and rural employment positions of the present invention is described in detail below with reference to the embodiments and the accompanying drawings.

[0036]

[0037] The urban and rural employment post distribution characteristic analysis system of this embodiment realizes comprehensive and integrated visual data analysis and description of employment post distribution characteristics in any region from three analysis levels: macro, meso, and micro.

[0038] figure 1 It is a schematic structural diagram of the urban and rural employment post distribution characteristic analysis system in the embodiment of the present invention.

[0039] like figure 1 As shown, the urban and rural employment post distribution characteristic analysis system 100 includes a data acquisition modul...

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Abstract

The invention provides an urban and rural employment post distribution feature analysis system, which is provided with a type distribution feature analysis module suitable for a microscopic level, an aggregation distribution feature analysis module suitable for a macroscopic level and a mesoscopic level, and an accumulation distribution feature analysis module. The three analysis modules of the system can integrate a plurality of spatial analysis methods from a macroscopic analysis level system, a mesoscopic analysis level system and a microcosmic analysis level system, so that the distribution characteristics of urban and rural employment posts can be analyzed in a multi-level and all-around manner; therefore, a distribution feature description system of spatial real-state representation, spatial attribute representation and spatial cumulative distribution representation of post distribution corresponding to employment statistical data is obtained. Compared with an existing analysis method about employment post distribution characteristics, the type distribution characteristic analysis module provides type distribution characteristic description suitable for a microscopic level, so that the description of the post distribution characteristics is more accurate and visual.

Description

technical field [0001] The invention belongs to the field of data analysis, and in particular relates to an urban and rural post distribution characteristic analysis system. Background technique [0002] At present, there are many methods to describe the distribution characteristics of employment positions. Typical ones include spatial cumulative distribution curve, Lorentz curve, Gini coefficient, standard deviation ellipse, global autocorrelation index (also known as Moran's I index) and local Moran's I index. Zhang Xiaoping, Sun Lei [1] The distribution characteristics of manufacturing enterprises in Beijing are studied by using the spatial cumulative distribution curve. Zhao Xinzheng et al [2] The location characteristics of Shanghai's manufacturing foreign-funded enterprises are analyzed by Lorenz curve and Gini coefficient. Lao Xin et al [3] , using the standard deviation ellipse to analyze the discrete trend of the employment density distribution and the employmen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/248G06F16/26G06Q50/26
CPCG06F16/26G06F16/248G06Q50/26Y02A30/60
Inventor 宋代军
Owner TONGJI UNIV
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