dc.contributor.author | Oliveros, Silvia | en_US |
dc.contributor.author | Yang, Yang | en_US |
dc.contributor.author | Jang, Yun | en_US |
dc.contributor.author | Maule, Ben | en_US |
dc.contributor.author | Ebert, David | en_US |
dc.contributor.editor | M. Pohl and J. Roberts | en_US |
dc.date.accessioned | 2014-12-16T07:19:31Z | |
dc.date.available | 2014-12-16T07:19:31Z | |
dc.date.issued | 2014 | en_US |
dc.identifier.isbn | 978-3-905674-68-2 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/eurova.20141137 | en_US |
dc.description.abstract | 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. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.title | Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process | en_US |
dc.description.seriesinformation | EuroVis Workshop on Visual Analytics | en_US |