This document discusses improving science communication through data visualization. It provides examples of data visualizations created by Zachary Labe and other scientists to communicate climate change information more effectively. These visualizations use tools like maps, line graphs and color to tell stories with data on topics like rising global temperatures, sea level rise and glacier decline. The document also discusses best practices for data visualization, including using accurate and accessible colors, fonts and designs to clearly convey scientific concepts and findings.
7. Landscape of Change uses data
about sea level rise, glacier volume
decline, increasing global
temperatures, and the increasing use
of fossil fuels. These data lines
compose a landscape shaped by
the changing climate, a world in
which we are now living.
Jill Pelto|http://www.jillpelto.com/landscape-of-change
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8. Jill Pelto|https://time.com/5864356/one-last-chance-time-cover/
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“It has been a tumultuous year, but
underlying currents of positive action
are surfacing rapidly,” says Pelto,
whose watercolor and colored pencil
piece is titled Currents. “It depicts a
critical grouping of global climate
data dictating our present and future
action. The reality of this data may be
frightening, but there are messages
for hope within.”
11. [TWEET]: By looking at changes in air temperature over just
one day, you can see contributions from a variety of Earth
systems: land surface feedbacks, effects of land vs. water
(oceans, lakes, rivers), topography (mountains), heat
transport from storms, the diurnal cycle, etc.
105. ACCESSIBILITY
No jargon
Tell a story
Alternative text
Color contrast ratio
Label data directly
Avoid flashing GIFs
Include figure titles
Avoid data overlays
Provide data references
131. Today’s weather or climate
scientist is far more likely to be
debugging code written in
Python… than to be poring over
satellite images or releasing
radiosondes.
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D. Irving| Bulletin of the American Meteorological Society| 2016