TY - GEN
T1 - SensePlace2
T2 - 2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011
AU - MacEachren, Alan M.
AU - Jaiswal, Anuj
AU - Robinson, Anthony C.
AU - Pezanowski, Scott
AU - Savelyev, Alexander
AU - Mitra, Prasenjit
AU - Zhang, Xiao
AU - Blanford, Justine
PY - 2011
Y1 - 2011
N2 - Geographically-grounded situational awareness (SA) is critical to crisis management and is essential in many other decision making domains that range from infectious disease monitoring, through regional planning, to political campaigning. Social media are becoming an important information input to support situational assessment (to produce awareness) in all domains. Here, we present a geovisual analytics approach to supporting SA for crisis events using one source of social media, Twitter. Specifically, we focus on leveraging explicit and implicit geographic information for tweets, on developing place-time-theme indexing schemes that support overview+detail methods and that scale analytical capabilities to relatively large tweet volumes, and on providing visual interface methods to enable understanding of place, time, and theme components of evolving situations. Our approach is user-centered, using scenario-based design methods that include formal scenarios to guide design and validate implementation as well as a systematic claims analysis to justify design choices and provide a framework for future testing. The work is informed by a structured survey of practitioners and the end product of Phase-I development is demonstrated / validated through implementation in SensePlace2, a map-based, web application initially focused on tweets but extensible to other media.
AB - Geographically-grounded situational awareness (SA) is critical to crisis management and is essential in many other decision making domains that range from infectious disease monitoring, through regional planning, to political campaigning. Social media are becoming an important information input to support situational assessment (to produce awareness) in all domains. Here, we present a geovisual analytics approach to supporting SA for crisis events using one source of social media, Twitter. Specifically, we focus on leveraging explicit and implicit geographic information for tweets, on developing place-time-theme indexing schemes that support overview+detail methods and that scale analytical capabilities to relatively large tweet volumes, and on providing visual interface methods to enable understanding of place, time, and theme components of evolving situations. Our approach is user-centered, using scenario-based design methods that include formal scenarios to guide design and validate implementation as well as a systematic claims analysis to justify design choices and provide a framework for future testing. The work is informed by a structured survey of practitioners and the end product of Phase-I development is demonstrated / validated through implementation in SensePlace2, a map-based, web application initially focused on tweets but extensible to other media.
KW - Crisis management
KW - Geovisualization
KW - Scenario-based design
KW - Situational awareness
KW - Social media analytics
KW - Spatio-temporal analysis
KW - Text analytics
KW - ITC-CV
U2 - 10.1109/VAST.2011.6102456
DO - 10.1109/VAST.2011.6102456
M3 - Conference contribution
AN - SCOPUS:84862908495
SN - 9781467300131
T3 - VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
SP - 181
EP - 190
BT - VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
PB - IEEE
CY - Providence
Y2 - 23 October 2011 through 28 October 2011
ER -
