This is a by-product of presentation “Framing Twitter Trajectory Visualization: A Comparison Between Hurricane Evacuation and Pandemic Lockdown” on IEEE VIS 2020 Workshop
MoVIS
(Information Visualization of Geospatial Networks, Flows and Movement). http://move.geog.ucsb.edu/movis2020/ The research summarizes the general forms especially cartographic
representation for trajectory-based visual analytics, with discussions of relevant strengths and limitations in visualizing social media data. A case study of geo-tagged twitter data
is conducted with comparisons between evacuations during 2017 Atlantic hurricane season and lockdowns during 2020 covid-19 pandemics, illustrating how twitter trajectory
visualization could benefit disaster management by revealing the spatiotemporal pattern of human mobility. This image is made by Kepler.gl, directly visualizing the 5 million
twitter-based trajectories regarding covid-19 pandemic. More following research results are coming soon.
Click
to watch the presentation on YouTube.
Below are static maps of the aggregated trajectories.