Fine drawing method based on social statistical data

A statistical data and refined technology, applied in electrical digital data processing, special data processing applications, calculations, etc., can solve problems such as low modeling accuracy, poor model optimization effect, and difficulty in applying fine spatialization of data in multiple regions.

Active Publication Date: 2015-04-22
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

At the same time, the present invention also provides a dynamic modeling method for fine spatialization of social statistical data based on the nesting of genetic programming algorithm and particle swarm algorithm, wh...

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  • Fine drawing method based on social statistical data
  • Fine drawing method based on social statistical data
  • Fine drawing method based on social statistical data

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Embodiment Construction

[0046] Taking "the refined distribution map of carbon emission data of some provinces and cities in the central and eastern parts of my country" as a specific example below, specifically introduce the specific steps of the refined mapping method for social statistical data in the present invention (such as figure 1 shown):

[0047] Step 1. Based on the environment required for the spatial distribution of carbon emissions, through literature review and expert scoring, determine the final natural and socio-economic impact factor system that may have an impact on the spatial distribution of carbon emissions: regional gross product, regional Total population, per capita GDP, proportion of tertiary industries and regional road network density.

[0048] Step 2. Obtain five types of influencing factor data and carbon emission distribution data of some urban units, and use GIS technology to perform unified layer coordinate conversion, projection conversion and other layer formatting f...

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Abstract

The invention relates to a fine drawing method based on social statistical data. According to the method, firstly, an influential factor system of social statistical data space distribution is determined based on an environment needed by social statistical data space distribution; secondly, multi-source data are integrated, uniform and rapid social statistical data fine spatialization production is carried out by combining the genetic planning (GP) algorithm and the particle swarm optimization (PSO) algorithm; thirdly, a plane layer structure and a layer coordination scheme of a fine social statistical data distribution diagram, a legend system and an expression mode are determined, and Chinese and English annotations are arranged with a longitude and latitude net as a basic control net; finally, the diagram is printed after quality testing and finalizing are carried out. By means of the method, the purposes that the relation quantitative expression mode between impact factors and the social statistical data is rapidly and accurately found in the social statistical data fine production process can be effectively achieved, and the method can be used for achieving intelligent fine expression of the same set of social statistical data in a plurality of space size ranges.

Description

technical field [0001] The invention relates to a method for refined mapping of social statistical data, which can effectively solve the problem of selecting a reasonable relationship expression mode in the production process of refined social statistical data; it can realize intelligent mapping of the same set of social statistical data in multiple different spatial dimensions. Refined expression. Background technique [0002] With the rapid development of technologies such as computers and the Internet, human beings have quickly entered the era of information explosion. So people have digital means to deal with many aspects of the earth's natural and social activities, and to maximize the use of existing resources. The spatial information revolution of "Digital Earth" and "Smart City" started from this. Social statistical data refers to the general term for all kinds of statistical data that reflect the social, economic and other characteristics of the administrative reg...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 廖一兰李丹丹王劲峰
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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