A visual analytics process for maritime resource allocation and risk assessment

Abish Malik, Ross Maciejewski, Ben Maule, David S. Ebert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

In this paper, we present our collaborative work with the U.S. Coast Guard's Ninth District and Atlantic Area Commands where we developed a visual analytics system to analyze historic response operations and assess the potential risks in the maritime environment associated with the hypothetical allocation of Coast Guard resources. The system includes linked views and interactive displays that enable the analysis of trends, patterns and anomalies among the U.S. Coast Guard search and rescue (SAR) operations and their associated sorties. Our system allows users to determine the potential change in risks associated with closing certain stations in terms of response time, potential lives and property lost and provides optimal direction as to the nearest available station. We provide maritime risk assessment tools that allow analysts to explore Coast Guard coverage for SAR operations and identify regions of high risk. The system also enables a thorough assessment of all SAR operations conducted by each Coast Guard station in the Great Lakes region. Our system demonstrates the effectiveness of visual analytics in analyzing risk within the maritime domain and is currently being used by analysts at the Coast Guard Atlantic Area.

Original languageEnglish (US)
Title of host publicationVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
Pages221-230
Number of pages10
DOIs
StatePublished - 2011
Externally publishedYes
Event2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011 - Providence, RI, United States
Duration: Oct 23 2011Oct 28 2011

Other

Other2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011
CountryUnited States
CityProvidence, RI
Period10/23/1110/28/11

Fingerprint

Risk assessment
Resource allocation
Coastal zones
Lakes
Display devices

Keywords

  • Coast Guard
  • risk assessment
  • Visual analytics

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Malik, A., Maciejewski, R., Maule, B., & Ebert, D. S. (2011). A visual analytics process for maritime resource allocation and risk assessment. In VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings (pp. 221-230). [6102460] https://doi.org/10.1109/VAST.2011.6102460

A visual analytics process for maritime resource allocation and risk assessment. / Malik, Abish; Maciejewski, Ross; Maule, Ben; Ebert, David S.

VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. p. 221-230 6102460.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Malik, A, Maciejewski, R, Maule, B & Ebert, DS 2011, A visual analytics process for maritime resource allocation and risk assessment. in VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings., 6102460, pp. 221-230, 2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011, Providence, RI, United States, 10/23/11. https://doi.org/10.1109/VAST.2011.6102460
Malik A, Maciejewski R, Maule B, Ebert DS. A visual analytics process for maritime resource allocation and risk assessment. In VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. p. 221-230. 6102460 https://doi.org/10.1109/VAST.2011.6102460
Malik, Abish ; Maciejewski, Ross ; Maule, Ben ; Ebert, David S. / A visual analytics process for maritime resource allocation and risk assessment. VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. pp. 221-230
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