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定性地理信息系统解读印度北方邦的流动性与 COVID-19 大流行的交集

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

机构信息

Department of Urban and Regional Planning, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah.

出版信息

Geospat Health. 2021 Mar 11;16(1). doi: 10.4081/gh.2021.911.

DOI:10.4081/gh.2021.911
PMID:33706497
Abstract

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.

摘要

个体的流动性及其物理社交网络是当前冠状病毒大流行传播的根本原因。我们在这里提出了一种基于地理信息系统(GIS)和 Gephi 图的可视化病毒传播的空间和时间方面的方法。为此,我们使用了来自报纸报道的定性数据,并准备了从宏观到微观尺度的各种布局,结果表明这种方法可以丰富传统的 GIS 方法,从而为流动性规划者和政策制定者提供帮助。

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