flamingbear
commented
9 years ago I saw that you were thinking about print visualizations in particular. But if you were also considering interactive visualizations, FlowingData recently had an tutorial on linked small multiples with some examples. http://flowingdata.com/2014/10/15/linked-small-multiples/
allenpope
Looking at changes to the poles is central to a lot of polar science, but scientists often still have a hard time visualizing their data through time, especially in 2D formats appropriate for (for example) journal articles (we will decide on the best audience, very impt for visualization). Sure, we can use small multiples, but that often isn't enough. Even in seemingly simple timeseries of raster imagery, it is often difficult for scientists to publish/share their timeseries. Rates of change (implicit to many timeseries) can be difficult to visualize as well.
This session will identify such a challenging (and important) dataset and put together a good visualization for it. Possible datasets to use could be a Modis or Landsat series, surface temperatures, sea ice concentration data, historical Nimbus data, etc.
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 --"Visualizing time-oriented data—A systematic view:" http://www.sciencedirect.com/science/article/pii/S0097849307000611 --"Data visualization: A view of every Points of View column:" http://blogs.nature.com/methagora/2013/07/data-visualization-points-of-view.html