week 5: information as ideology
DESCRIPTION
overview of critical visualisationTRANSCRIPT
CRITICAL VISUALISATION
[information as ideology]
Created by students of American African-American activist W.E.Dubois in 1902from http://www.informationisbeautiful.net/
CRITICAL VISUALISATION
[information as ideology]
The Path of ProtestDesigned by Garry Blight and Sheila Pulham for the guardian.co.uk, Tuesday 22 March 2011
CRITICAL VISUALISATION
[information as ideology]
CRITICAL VISUALISATION
What is “visualisation”?
Visualisation 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.
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 poster
USA 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”
We have allowed the criminal justice system to replace and displace
a whole host of other public institutions and civic infrastructures. Laura Kurgan
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
“Always make maps; always question maps.”Denis Cosgrove, cartography historian