Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process (English)

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Risk-based decision making is a data-driven process used to gather data about outcomes, analyze different scenarios, and deliver informed decisions to mitigate risk. We describe the design and application of integrated visual analytics techniques and components to support risk-based decision making following a structured risk management process in the US Coast Guard domain. The components proposed perform the following interactive tasks: the identification of risk priority areas, the distribution of pre-computed risk values, and the analysis of coverage versus risk, all of which equip analysts with the tools to examine the different decision factors and assist course of action development in the long-term planning and assessment process.

  • Title:
    Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process
  • Author / Creator:
  • Published in:
  • Publisher:
    The Eurographics Association
  • Year of publication:
    2014
  • Size:
    5 pages
  • ISBN:
  • DOI:
  • Type of media:
    Conference paper
  • Type of material:
    Electronic Resource
  • Language:
    English
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Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

A Visual Analytics Field Experiment to Evaluate Alternative Visualizations for Cyber Security Applications
Fischer, Fabian / Davey, James / Fuchs, Johannes / Thonnard, Olivier / Kohlhammer, Jörn / Keim, Daniel A. | 2014
Interactively Visualizing Summaries of Rules and Exceptions
Sharma, Geetika / Shroff, Gautam / Pandey, Aditeya / Agarwal, Puneet / Srinivasan, Ashwin | 2014
Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process
Oliveros, Silvia / Yang, Yang / Jang, Yun / Maule, Ben / Ebert, David | 2014
Guided Sketching for Visual Search and Exploration in Large Scatter Plot Spaces
Shao, Lin / Behrisch, Michael / Schreck, Tobias / Landesberger, Tatiana von / Scherer, Maximilian / Bremm, Sebastian / Keim, Daniel | 2014
Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics
Luboschik, Martin / Röhlig, Martin / Kundt, Günther / Stachs, Oliver / Peschel, Sabine / Zhivov, Andrey / Guthoff, Rudolf F. / Winter, Karsten / Schumann, Heidrun | 2014
Ribbons: Enabling the Effective Use of HPC Utilization Data for System Support Staff
Sisneros, Robert / Fullop, Joshi / Semeraro, B. David / Bauer, Greg | 2014
From Ill-defined Problems to Informed Decisions
Roberts, Jonathan / Keim, Daniel / Hanratty, Timothy / Rowlingson, Robert / Walker, Rick / Hall, Mark / Jackobson, Zack / Lavigne, Valerie / Rooney, Chris / Varga, Margaret | 2014
Towards more Visual Analytics in Learning Analytics
Ritsos, Panagiotis D. / Roberts, Jonathan C. | 2014
A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data
Alsallakh, Bilal / Bögl, Markus / Gschwandtner, Theresia / Miksch, Silvia / Esmael, Bilal / Arnaout, Arghad / Thonhauser, Gerhard / Zöllner, Philipp | 2014
What's In a Name? Data Linkage, Demography and Visual Analytics
Wang, Feng / Ibarra, Jose / Muhammed, Adnan / Longley, Paul / Maciejewski, Ross | 2014
Integrated Visualization and Analysis of a Multi-scale Biomedical Knowledge Space
Agibetov, Asan / Vaquero, Ricardo Manuel Millan / Friese, Karl-Ingo / Patane, Giuseppe / Spagnuolo, Michela / Wolter, Franz-Erich | 2014