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Build a Visualization, Tell a Story #82
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This seems as a good as place as any (but applicable to many sessions): NSIDC Developer Soren Scott put together a list of visualization tools which might be helpful for Hackathon Attendees - https://docs.google.com/spreadsheets/d/12DCw2YSa9wUeG24DjCEGXoZQTYyiFgPK0HNQV-qeswg/edit#gid=0 (cc @chrismattmann, in case there's a better place...) |
Awesome, love it @allenpope @curtlisle check it out too. I just added Apache OCW to the list (cc @lewismc ) |
@allenpope This is the idea that I was really drawn by in terms of tech and visualization (http://www.nytimes.com/newsgraphics/2013/10/13/russia/) |
Outcomes of first session: Session 1 broke into two groups, after looking at potential stories to try to follow through: We went around in a lot of circles about the best ways to show change, and interrelation of changes in West Antarctica, and how to link that to our audience. What data? How to tell it? How to interest people? Etc. We decided that the really “interesting” and not-as-well-told part of the story is an understanding of how dynamic, responsive glacier systems really are. So, for a curious public we ended up with something like: Do you really understand how glaciers work? We provide examples of how glaciers interact with their environments, either schematics, observed data, or model output For examples: End with a “these are solutions necessary to achieve a given response” Questions for Information designers / UI: |
@allenpope please feel free to use wiki page for your session in: |
Outcomes of Table 2 session 1 issue 82. Our team was going to tell a story with data and visualization regarding the sea ice. The topic proved too broad. Between the attendees we found that everyone was interested in different aspects of the complex arctic system. We had interests in connecting the data of shrinking ice to potential future effects. These included changes to shipping routes due to ice retreat and considered how to describe how much carbon might be released by the ships. Also talked about potential geopolitical struggles for newly available resources. How could we include discovery of microplastics and where their sources. Talked about a lot of ideas based on individual interest, but were unable to narrow down the scope enough that we though we could tell a new story about the sea ice in the time given. We did wonder which data sources we would be able to use and noticed a gap in the availability of data services and documetation what would lead us to the information we need. We thought that if the data were easily available and described correctly, it would be possible for social scientists to layer their stories atop the data efficiently. |
Here are a few websites that address different audiences and parts of the climate change/sea level rise story - for reference? National Geographic's Rising Seas interactive: http://ngm.nationalgeographic.com/2013/09/rising-seas/folger-text Impacts of sea level rise on the Chesapeake Bay region: http://www.chesapeakeadaptation.org NOAA's visualization of sea level rise in Delaware: http://coast.noaa.gov/digitalcoast/stories/slr-delaware |
Even though "a picture is a thousand words," some things are "easy" to write about but hard to show in a picture. But often that one graphic is more powerful than 10,00 words. This session would try to take advantage of the full breadth of workshop attendees by pulling together a full story/visualization of an "issue" that has been difficult to visualize/explain in polar science. A target audience is proposed as the "newspaper reading public."
I would suggest starting with something that has been well written up in one or more sources so that we can focus on the visualization side of the narrative. Something else to keep in mind will be data available to create any visualizations. Some thoughts on what to focus on would be:
-Recent papers on the collapse of Pine Island / Thwaites Glaciers
-Arctic vs Antarctic sea ice processes
-Weather patterns' role in disintegrating a weakened sea ice pack (or not)
-Other suggestions?
A few links to get started...
• "These Simple Tips Will Make Your Science Visualizations Rock:" http://io9.com/these-simple-tips-will-make-your-science-visualizations-1633922235
• "Data visualization: A view of every Points of View column:" http://blogs.nature.com/methagora/2013/07/data-visualization-points-of-view.html
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