顾及城市场景变化的人口分析单元表达

Population Analysis Unit Expression Considering Urban Scene Changes

  • 摘要: 人口分析单元是不同城市场景开展地理分析的时空对象和基本单位。城市场景是人口时空活动的信息描述集合,为单元表达提供时空范围与语义限定。针对当前单元表达模型较少关注具体人口分析特征描述,缺乏场景和单元特征表达的关联方法和参考标准的问题,提出了顾及城市场景变化的人口分析单元表达模型。该模型首先考虑场景要素与人口活动特征在单元中的表达关联,形成融合场景组成要素的人口分析单元表达方法。然后,根据具体表达内容分析场景和单元的关联特征及统一参考标准,构建关联场景的单元形式化描述结构。具体案例表明所提出的模型可将城市场景信息按标准关联人口分析单元特征,提高了单元的特征表达能力和对场景的适用性,并为单元几何构建提供了参考。

     

    Abstract:
    Objectives Population analysis unit is the spatiotemporal object and basic part of geographical analysis in different urban scenes. Aiming at the problem that the current unit expression model pays less attention to the description of specific population analysis features and lacks the correlation method and referen‑ce standard of scene and unit feature expression. We propose a population analysis unit expression model considering urban scene change.
    Methods The model first considers the unit's demand for feature description of population spatiotemporal analysis in two-dimensional space, as well as the dissimilarity of components such as objects and environments of urban scenes, forming a population analysis unit expression model that integrates scene components. Then, based on the content of model expression, the relationship between urban scene and population analysis unit is analyzed. Referring to the geographic scene modeling method, the correlation characteristics and reference standards between scene and population analysis unit are constructed.
    Results In order to verify the rationality of the method, we take the epidemic analysis scenario in Wuhan City, Hubei Province, China as a case to realize the population analysis unit modeling and attribute feature dynamic update considering the scenario change. The results show that the proposed model can correlate urban scene information with population analysis unit characteristics according to standards and help to improve unit description ability.
    Conclusions By associating the information and characteristics of urban scene elements, the proposed model can enhance the expression ability of units and map the information and characteristics of urban scene in a more standard and reasonable way. It can also provide a referen‑
    ce for the geometric construction of the unit and the interpretation of the analysis results.

     

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