Visual  analytics
 provides  technology  that  combines  the  strengths  of  human  and  electronic  data processing.  Visualization  becomes  the  medium  of  a  semi-automated  analytical  process,  where human  and  machine  cooperate using  their  respective  distinct  capabilities  for  the  most  effective results. The user has to be the ultimate authority in giving the direction of the analysis along his or her  specific  task.  At  the  same  time,  the  system  has  to  provide  effective  means  of  interaction  to concentrate  on  this  specific  task.  On  top  of  that,  in  many  applications  different  people  work  along the path from data to decision. A visual representation will sketch this path and provide a reference for their collaboration across different tasks and abstraction levels.

The diversity of these tasks cannot be tackled with a single theory. Visual analytics research is highly interdisciplinary  and  combines various  related  research  areas  such  as  visualization,  data  analysis, data  management,  data  fusion,  statistics  and  cognition  science (among  others).  One  goal  of  this project  is  to  demonstrate  that  joining  research  efforts  from  these  various  fields  can  lead  to  novel, highly  effective  analysis  tools,  contributing  solutions  to  the  information  overload  problem  in  many important domains. Because visual analytics is an integrating discipline, the existing solutions in the area  of  critical  infrastructures  and  crisis  response  will  be  integrated  to  support  decision  making  in situations where multiple critical infrastructures are relevant.

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