Method, device and medium for extracting population activity quantity based on Baidu heat map

Abstract

The invention discloses a population activity quantity extraction method and a device based on a Baidu thermodynamic diagram, and a medium. The method comprises the following steps: receiving importedBaidu thermodynamic diagram data; preprocessing the Baidu thermodynamic diagram data according to a preset projection coordinate system to obtain a preprocessed Baidu thermodynamic diagram; re-assigning a pixel value of each pixel in a fourth channel of the preprocessed Baidu thermodynamic diagram based on a corresponding relationship between a pixel value range and a population activity densityvalue to obtain a re-classified Baidu thermodynamic diagram; calculating the pixel size value of the Baidu thermodynamic diagram after re-classification; dividing the re-classified Baidu thermodynamicdiagram into a plurality of subareas with unique numbers according to preset subarea sizes; establishing a population activity density value frequency table; and calculating the population activity number of each subarea according to the population activity density value frequency table and the pixel size value. According to the method, regional division can be carried out on the Baidu thermodynamic diagram and the population activity number of each sub-region can be extracted.

Description

technical field [0001] The present invention relates to the technical field of big data processing, in particular to a method, device and medium for extracting population activity numbers based on Baidu heat map. Background technique [0002] Population activity characteristics are important basic information and decision-making basis for urban planning. How to obtain data efficiently and accurately is a key issue in urban population research. Traditional population data acquisition methods usually use censuses and survey interviews. However, with the expansion of cities, the distribution of urban populations has become increasingly complex, resulting in difficult access to data, slow update speed, and relatively delayed time. In recent years, with the application and promotion of big data, mobile phone signaling data, bus card data, and Internet-based data such as Baidu heat map, WeChat heat map, and Weibo check-in data have been widely used in urban population research. ...

AI Technical Summary

Problems solved by technology

Traditional population data acquisition methods usually use census and survey interviews, but with the expansion of city size, urban population distribution is becoming increasingly complex, resulting in difficult access to data, slow update speed, and relatively lagging time

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