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A qualitative geographical information system interpretation of mobility and COVID-19 pandemic intersection in Uttar Pradesh, India

机译:印度北方邦的流动性和Covid-19流行交叉口的定性地理信息系统解读

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Mobility of individuals and their physical social networks are the root causes for the spread of current coronavirus pandemic. We propose here a method of visualizing the spatial and chronological aspects of the spread of this virus based on geographical information systems (GIS) and Gephi graphs. For this approach we used qualitative data from newspaper reports and prepared layouts varying from macro to micro scales that show that this approach can enrich traditional GIS approaches, thereby assisting mobility planners and policymakers.
机译:个人的流动性及其物理网络是目前冠状病毒大流行传播的根本原因。 我们在此提出了一种基于地理信息系统(GIS)和Gephi图来可视化该病毒扩散的空间和时间顺序的方法。 对于这种方法,我们使用报纸报告的定性数据,并准备从宏转移到微尺度的布局,表明这种方法可以丰富传统的GIS方法,从而协助流动性规划者和政策制定者。

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