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Population data spatialization method and system based on partition modeling, and medium

A population data and spatialization technology, applied in the field of population data processing, can solve the problems of poor model practicability, low precision of simulation results, unreasonable selection of influencing factors, etc., and achieve the effect of enhancing interpretability and correcting deviation characteristics

Active Publication Date: 2019-07-05
GUANGZHOU UNIVERSITY
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Problems solved by technology

[0004] However, during the research and practice of the existing technology, the inventors of the present invention found that there are still defects in the selection of influencing factors and poor practicality of the model in the spatialization process of population data, resulting in low accuracy of simulation results

Method used

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  • Population data spatialization method and system based on partition modeling, and medium
  • Population data spatialization method and system based on partition modeling, and medium
  • Population data spatialization method and system based on partition modeling, and medium

Examples

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no. 1 example

[0060] see Figure 1-7 .

[0061] Such as figure 1 As shown, a population data spatialization method based on partition modeling provided in this embodiment includes the following steps:

[0062] S101. Collect the permanent population data of the research area and the original data sources that affect the spatial distribution of the population, and perform data preprocessing;

[0063] Specifically, for step S101, the original data sources such as permanent population data, natural and socio-economic factors affecting the spatial distribution of population, etc. are collected from 106 streets in Yuexiu District, Haizhu District, Liwan District, Tianhe District, Baiyun District, and Huangpu District in Guangzhou. . Such as: land use data, DEM, POI data, road network distribution, night light data, residential housing prices, building area, etc.

[0064] S102. Perform grid processing on the preprocessed data based on the geographic detector model, standardize the correspondin...

no. 2 example

[0124] see Figure 3-8 .

[0125] Such as Figure 8 As shown, this embodiment also provides a population data spatialization system based on partition modeling, including:

[0126] The data preprocessing module 100 is used to collect the resident population data of the research area and the original data sources that affect the spatial distribution of the population and perform data preprocessing;

[0127] The identification factor module 200 is used to perform grid processing on the preprocessed data based on the geographic detector model, standardize the corresponding population distribution impact indicators after obtaining them, and preliminarily screen out the population distribution impact factors;

[0128] The screening factor module 300 is used to divide the research area into several subregions, and according to the differences in natural and socioeconomic factors between the subregions, on the basis of the preliminary screening, the impact on the population distrib...

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Abstract

The invention discloses a population data spatialization method and system based on partition modeling, and a medium. The method comprises the following steps: collecting an original data source of aresearch area, which influences spatial distribution of population, and carrying out pre-processing; carrying out gridding processing on the data based on a geographic detector model, carrying out standardization processing after obtaining a population distribution influence index, and preliminarily screening out a population distribution influence factor; dividing the research area into a plurality of partitions, and respectively rescreening the population distribution influence factors of the partitions; and meanwhile, establishing a stepwise regression equation and a random forest model, performing precision comparative analysis on the population data spatialization result of each partition, selecting an optimal simulation result in each partition as a population data spatialization final result of each partition, and performing combination to obtain a population spatial distribution simulation schematic diagram. According to the method, the research area can be partitioned based onpartition modeling, the population data spatialization model of each partition can be constructed, and the accuracy and efficiency of population spatial distribution simulation are improved.

Description

technical field [0001] The present invention relates to the technical field of population data processing, in particular to a population data spatialization method, system and medium based on partition modeling. Background technique [0002] As the main body of social activities, human beings are the leading factors that cause the evolution of the natural geographical environment. The spatial distribution of population is one of the main research topics in demography, sociology, and statistics, and it is the core content of the most important research in population geography. According to the "Global Population Development Report - 2015 Revision" issued by the United Nations Department of Economic and Social Affairs, it is estimated that the world's total population will reach 8.5 billion by 2030, increase to 9.7 billion in 2050, and increase to 11.2 billion at the beginning of the next century. Population growth and huge population have caused excessive consumption of land...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06F16/29
CPCG06Q10/04G06Q50/26
Inventor 赵冠伟成方龙杨木壮龚建周吴志峰
Owner GUANGZHOU UNIVERSITY
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