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General Visualization Abstraction Algorithm for Geographic Map-based Directable Interfaces
 

Summary: General Visualization Abstraction Algorithm
for Geographic Map-based Directable Interfaces
Curtis M. Humphrey, Julie A. Adams
Department of Electrical Engineering and Computer Science
Vanderbilt University
Nashville, Tennessee USA 37235
Emergency incident response, including Chemical, Biological, Radiological, Nuclear, and Explosive
(CBRNE) a.k.a. weapons of mass destruction incidents, is evolving from a response involving humans with
equipment to a response system combining humans and thinking machines (e.g. robots). The robots, along with
possibly other deployed sensors, will generate and capture volumes of information that will be presented in
directable visualizations. This paper presents a novel approach to performing information abstraction (i.e.,
selection and grouping) and determining how each information item should be presented (i.e., its shape) in
directable visualizations. This new approach employs the General Visualization Abstraction (GVA) algorithm
to make salient and direct attention to the most relevant information items by determining an importance value
for each information item based on the item's relationship with two classes of information: historically relevant
and currently relevant information, and novel and emerging information.
I TRODUCTIO
The emergency response incident is evolving from a
response involving humans (e.g. first responders, government
officials, civilians) with equipment (e.g. protective suits,

  

Source: Adams, Julie A. - Department of Electrical Engineering and Computer Science, Vanderbilt University

 

Collections: Engineering; Computer Technologies and Information Sciences