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.