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The analysis of mobility data is challenging due to the need to analyze and compare spatial situations (i.e., presence and flows of people at certain time moments) and to gain an understanding of the spatio-temporal ... Hourly flows of residential Twitter users in Greater London area over a week are spatially and temporally simplified to gain an overview of mobility dynamics. ... This research has been partially supported by the EU-funded projects GRACeFUL and SoBigData. ...doi:10.1109/tvcg.2015.2468111 pmid:26529684 fatcat:cvg5itedr5bfxa37zs6vzfxpha
Users can conveniently designate the spatial and temporal ranges for different mobility restriction policies. ... Thus, based on big human mobility data and city POI data, an interactive visual analytics system called Epidemic Mobility (EpiMob) was designed in this study. ... Mobilitygraphs  utilized graph and clustering to visually understand mass mobility dynamics;  focused on pattern discovering from geo-tagged social media data; Telcovis  explored co-occurrence ...arXiv:2007.03180v3 fatcat:2q6bmugq4bbqthyajo4ysv7dra