Lecture 9 (15 Oct 2020)

Uncertainty Visualization

Links from lecture

National Hurricane Center Maps https://www.nhc.noaa.gov/

Predicting the climatic future is riddled with uncertainty: https://www.economist.com/science-and-technology/2019/09/21/predicting-the-climatic-future-is-riddled-with-uncertainty

Trump’s Most Pointless Lie: https://www.theatlantic.com/ideas/archive/2019/09/trumps-pointless-lie-hurricane-dorian-and-alabama/597469/

Visualizing Uncertainty - A Short Introduction: http://www.seaplusplus.co.uk/wp-content/uploads/VUI_221219.pdf

GIS&T Representing Uncertainty: https://gistbok.ucgis.org/bok-topics/representing-uncertainty

NYTimes: How Not to be Misled by the Job Report: https://www.nytimes.com/2014/05/02/upshot/how-not-to-be-misled-by-the-jobs-report.html

The Visual Uncertainty Experience (Video): https://www.youtube.com/watch?v=pTVAn4oLvbc&feature=youtu.be&t=1080

Interactive part: Visualizing the Uncertainty in Data

Read the blog post by Nathan Yau: https://flowingdata.com/2018/01/08/visualizing-the-uncertainty-in-data/

In five groups, focus on one of the following sections:

1. Ranges
2. Distributions
3. Multiple Outcomes
4. Simulations
5. Obscurity

As group work, create one slide summarizing the uncertainty visualization technique suggested in the section.

• What is the purpose of the representation of uncertainty in general?
• Explain the example visualization. What type of uncertainty does it show?
• Do you find the representation of uncertainty useful in this case?
• Find an example related to our COVID-19 data to which the uncertainty visualization technique could be applied.

Results: https://miro.com/app/board/o9J_krWMlT0=/