论文标题
ODT Flow Explorer：提取，查询和可视化人类流动性
ODT Flow Explorer: Extract, Query, and Visualize Human Mobility
论文作者
论文摘要
了解人类的流动性动态提供了有关其互动重力的基本知识，从而使需要在人类空间相互作用中进行先验知识的广泛应用。持续的共同19-19大流行独特地凸显了监测和测量精细的人类空间相互作用的必要性。为了响应大流行中人类流动数据的飙升需求，我们通过从Safegraph -Mobility Data中提取数十亿个地理标签的推文和美国（美国）人口流量来开发出一个互动的地理空间网站。 Web门户名为ODT（Origin-Destination-Destination-destination）Flow Explorer。资源管理器的核心是ODT数据立方体，并在不同的空间和时间尺度上有效地管理，查询和总计数十亿个OD流。尽管探险家仍处于早期发展阶段，但快速生成的移动性流数据可以使需要及时访问细粒度人类流动性记录的广泛领域受益。可以通过http://gis.cas.sc.edu/geoanalytics/od.html访问ODT Flow Explorer。
Understanding human mobility dynamics among places provides fundamental knowledge regarding their interactive gravity, benefiting a wide range of applications in need of prior knowledge in human spatial interactions. The ongoing COVID-19 pandemic uniquely highlights the need for monitoring and measuring fine-scale human spatial interactions. In response to the soaring needs of human mobility data under the pandemic, we developed an interactive geospatial web portal by extracting worldwide daily population flows from billions of geotagged tweets and United States (U.S.) population flows from SafeGraph mobility data. The web portal is named ODT (Origin-Destination-Time) Flow Explorer. At the core of the explorer is an ODT data cube coupled with a big data computing cluster to efficiently manage, query, and aggregate billions of OD flows at different spatial and temporal scales. Although the explorer is still in its early developing stage, the rapidly generated mobility flow data can benefit a wide range of domains that need timely access to the fine-grained human mobility records. The ODT Flow Explorer can be accessed via http://gis.cas.sc.edu/GeoAnalytics/od.html.
