Fine drawing method based on social statistical data

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...

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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, which effectively solves the problem of low modeling accuracy and model optimization effect of existing fine spatialization methods. Poor, difficult to apply to problems such as fine spatialization of data in multiple regions

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