Population data spatialization method, device and equipment based on multi-source information fusion

Abstract

The invention relates to the technical field of POI big data processing, in particular to a population data spatialization method, device and equipment based on multi-source information fusion, and the method comprises the steps: obtaining night light data, urban POI data and population data of a research region, dividing a spatial distribution grid in the research region according to a preset rule, and building a population data spatialization model with sub-population data as a dependent variable, wherein the sub night light data is a multivariate linear regression model of independent variables; according to a multivariate linear regression model taking the sub night light data as an independent variable, determining an initial estimated value of population distribution of each spatialdistribution grid according to the multivariate linear regression model, taking the sub population data of the administrative region as a constraint condition to correct the initial estimated value ofthe spatial distribution grid in the administrative region, and determining a population prediction value. According to the method, night light data and POI data are combined, a regression analysis model is constructed according to demographic data, demographic spatial modeling is carried out, demographic spatial distribution simulation and prediction are realized, the data has no hysteresis quality, and the model accuracy is relatively high.

Description

technical field [0001] The invention relates to the technical field of POI big data processing, in particular to a population data spatialization method, device and equipment based on multi-source information fusion. Background technique [0002] At present, "spatial data socialization" is a research hotspot. As an important field, population data spatialization research can effectively discretize population data and mine hidden spatial information. The core of population data spatialization research is population statistics data discretization. The early spatial analysis of population data was based on traditional static grids, but the current research direction is gradually evolving to dynamic spatialization. The static gridding method uses the spatial difference method or the population distribution model method to project the demographic data into the cell size grid, and only considers the influence of the population distribution. With the development of remote sensing...

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Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a population data spatialization method, device and equipment based on multi-source information fusion to overcome the problem of low reliability of current population spatialization analysis

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