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Nature-inspired visualization

Visualizations of complex interrelationships have the potential to be complex and require a lot of cognitive input. When creating new approaches for visualization we can derive analogues from natural systems. People interact with the nature very closely Hence natural inspired concepts can be used to cognitive amplification , moving the load from the user's cognitive to their perceptual systems and thus allowing them to focus their cognitive resources where they are most appropriate There are two systems as follows:
  1. physical-based model
  2. biological inspiration

Lot of day today actions are happening mediated by technology. So these action can be recorded and analyzed .At that point we will be able to find some interesting patterns and interesting thing about the data. These result can be used for yielding insights into our behavior, desires and goals, providing marketing companies with identified opportunities to sell new products into, or medical companies with information on appropriate healthcare, or governments with information on their citizens and enemies, the spread of disease, the social networks of texting and blogging.We want to find the effective methods to represent those findings.

In 1973, Herman Chernoff introduced a visualization technique to illustrate trends in multidimensional data. Normally we change our expression time to time. But we can easily identify them if there is slightly different. This concept is the base for Chernoff faces technique. Different data dimensions were mapped to different facial features, for example the face width, the level of the ears, the radius of the ears, the length or curvature of the mouth, the length of the nose, etc. Chernoff faces are just a cartoon like faces. With this faces we can display complex multivariate data. They draw upon the human mind's natural ability to recognize small differences in facial characteristics and to understand many facial characteristics at once. Several Variables can be assigned to facial characteristic and according the condition expressions can be generated.




As an example, here are some team statistics from the 2005 baseball season represented in a table and then as a series of Chernoff Faces:(Go)

2005 National League

PCTHHRBBSB
ARI.4751419191606 67
ATL.5561453184534 92
CHI.4881506194419 65
CIN.4511453222611 72
COL.4141477150509 65
FLO.5121499128512 96
HOU.5491400161481115
LAD.4381374149541 58
MIL.5001413175531 79
NYM.5121421175486153
PHI.5431494167639116
PIT.4141445139471 73
SDP.5061416130600 99
SFG.4631427128431 71
STL.6171494170534 83
WAS.5001367117491 45


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