A population analysis unit division method based on urban morphology and aggregation mode

Abstract

The invention discloses a population analysis unit division method based on urban form and aggregation mode, comprising the following steps: S1. Taking into account the spatial structure of the city and the fine-grained requirements of population analysis, and orienting to the functional heterogeneity of the micro-scale population activity area to fit the city Natural form, divide the basic analysis unit; S2. Consider the spatial distribution characteristics of urban population flow in local convergence and the long-term stability characteristics that depend on the dynamic changes of entrances and exits, and construct a population convergence preference model; S3. Use the microstructural elements in the basic analysis unit to divide FPAZ (Fine Population Analysis Zone) suitable for expressing and analyzing population distribution and variation characteristics. The present invention divides the FPAZ suitable for expressing the characteristics of population distribution and change based on the urban morphological elements and the population convergence preference model by considering the urban morphological characteristics and the population convergence pattern, which is helpful for the analysis and mining of the population distribution and the temporal and spatial pattern of the change, thereby further supporting Delicate management of urban population.

Description

technical field [0001] The present application belongs to the field of urban geographic intelligent computing, and designs a refined population analysis unit division method based on urban morphology and population aggregation mode. Background technique [0002] The population analysis unit is the basic spatial unit for the spatio-temporal operation, rule mining and analysis results visualization of urban population analysis. Static population distribution or dynamic population change information is displayed through the population analysis unit, and spatiotemporal analysis is carried out based on the population analysis unit. The shape, size, and spatial continuity of the population analysis unit directly determine the fineness of population information expression and population analysis. result accuracy. Therefore, an appropriate population analysis unit division method is crucial for effectively expressing urban population activity information, analyzing the spatiotempor...

AI Technical Summary

Problems solved by technology

[0005] In general, the current population analysis unit division methods are mainly driven by research data and application needs, and lack the division method that considers the human unit from the perspective of population distribution and change characteristic expression and analysis accuracy

Especially at the micro scale, the results of the division of these three types of population analysis units tend to have different problems from urban forms, low continuity of spatial units, and insufficient spatial resolution, which lead to inaccurate expression of population information and poor scene versatility , unable to support fine and accurate urban population analysis and the application of analysis results for a long time

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