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Method of Spatialization of Population Data in Alpine and Canyon Areas

A technology of population data and spatialization, applied in the field of population statistics, can solve the problem of difficulty in accurately predicting the population density in mountains and valleys, and achieve the effect of avoiding population density errors.

Active Publication Date: 2022-03-08
四川省安全科学技术研究院 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to achieve the purpose of the above invention, the method for spatializing population data in alpine and valley areas provided by the present invention solves the problem that existing models are difficult to accurately predict population density in alpine and canyon areas

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  • Method of Spatialization of Population Data in Alpine and Canyon Areas
  • Method of Spatialization of Population Data in Alpine and Canyon Areas
  • Method of Spatialization of Population Data in Alpine and Canyon Areas

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Embodiment Construction

[0017] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0018] refer to figure 1 , figure 1 A flow chart showing a method for spatializing population data in alpine and valley regions; as figure 1 As shown, the method S includes steps S1 to S7.

[0019] In step S1, the multi-source geographic information data covering the alpine and valley areas is obtained, and the multi-source geographic information data are sorted into the same format. An example of the sorted format is: DY...

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Abstract

The invention discloses a method for spatializing population data in alpine and canyon areas, which includes acquiring multi-source geographic information data covering alpine and canyon areas, sorting, cutting and resampling them; performing grid division on the alpine and canyon areas, Calculate the correlation between the surveyed population in each grid and each index data in the multi-source geographic information; assign weights to the index data whose correlation is greater than the set threshold, and use the multi-factor fusion model to predict the the population of each grid; using the index data in the multi-source geographic information as the independent variable and the population as the dependent variable, the multiple regression model is used to predict the population of each grid in the valley area; Population prediction value, calculate the population density of each grid, and use the mosaic algorithm to fuse to obtain the population density of the alpine and valley areas.

Description

technical field [0001] The invention relates to population statistics technology, in particular to a method for spatializing population data in alpine and valley areas for obtaining population density. Background technique [0002] Spatialized population data can quickly and accurately estimate disaster threats and post-disaster casualties, provide reliable basis for disaster prevention and reduction urban development planning, evacuation route design, post-disaster rescue route planning, and mass resettlement, so as to protect the safety of the masses and the development of the country to the greatest extent. Traditionally, administrative units are used as the basis for demographic analysis, which has the disadvantages of low spatial and temporal resolution, long statistical cycle, and slow update speed; in the past, population spatialization methods were mostly based on macro or meso scales in plains and hilly areas. A set of relatively mature multi-factor comprehensive sp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06F16/29
CPCG06Q10/04G06Q10/06393G06Q10/067G06Q50/26G06F16/29
Inventor 王自力尹恒王立娟马松廖鑫刘欢靳晓唐尧马国超贾洁琼唐梓洋徐陈郑琅张婧
Owner 四川省安全科学技术研究院
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