week 9: critical visualisation
DESCRIPTION
Data fields and critical analysisTRANSCRIPT
European Airspace Rebooted, created by by ITO World, based on the data retrieved from Flight Radar 24.
CRITICAL VISUALIZATION
CRITICAL VISUALIZATION
Below is a screen capture of the Bing Maps Twitter application, filtering tweets by the term 'ash'. Twitter users are, of course, referring to the ash from the Iceland volcano eruption. [ As illustrated on 17 April 2010 by Matthew Hurst: http://datamining.typepad.com/data_mining/]
CRITICAL VISUALIZATION
CRITICAL VISUALIZATION
What is “visualization”?
Visualization is the process of presenting data in a form that allows rapid understanding of relationships and findings that are not readily evident from raw data.
Ray and Charles Eames, Powers of Ten, 1977
Eventually, everything connects.Charles Eames
Paleolithic cave paintings in Lascaux, France
Mappae Mundi, 15th century
Data Visualization Research Lab
Five Principle Advantages of Visualization*
1) It helps us comprehend large amounts of data.2) It helps us perceive emergent properties we might not
have otherwise anticipated.3) It can reveal problems within the data itself.4) It facilitates our understanding of large-scale and small-
scale elements.5) It assists us in forming hypotheses.
*Colin Ware, Director, Data Visualization Research Lab
the information landscape
Sheppard Fairey posterUSA presidential campaign, 2008
“I feel that he is more a statesman than a politician.”
-Sheppard Fairey
“Art” of visualization should be understood as “a creative process concerned with not just the finished artifact but the framing, gathering, connecting, and arraying of data.”
In approaching visualization this way “we can also imagine it as a critical practice: sizing up and reformulating a terrain of knowledge as well as experimenting with new and alternative forms.”
VVisualisation of the blogsphere by Matthew Hurst:http://datamining.typepad.com/gallery/blog-map-gallery.html
Justice Mapping Center, “Architecture and Justice”
Data itself is never neutral; it is collected for a reason, and processed and presented for specific purposes…There is no such thing as raw data.
Peter Hall, Critical Visualization
The Laws of Simplicity
By John Maeda
Law 1: Reduce
The simplest way to achieve simplicity is through thoughtful reduction.
Law 2: Organize
Organization makes a system of many appear fewer.
Law 3: Time
Savings in time feel like simplicity.
Law 4: Learn
Knowledge makes everything simpler.
Law 5: Differences
Simplicity and complexity need each other.
Law 6: Context
What lies in the periphery of simplicity is definitely not peripheral.
Law 7: Emotion
More emotions are better than less.
Law 8: Trust
In simplicity we trust.
Law 9: Failure
Some things can never be made simple.
Law 10: The One
Simplicity is about subtracting the obvious, and adding the meaningful.
“Always make maps; always question maps.”Denis Cosgrove, cartography historian