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.