SensePlace2: GeoTwitter analytics support for situational awareness

Alan M. MacEachren*, Anuj Jaiswal, Anthony C. Robinson, Scott Pezanowski, Alexander Savelyev, Prasenjit Mitra, Xiao Zhang, Justine Blanford

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    252 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
    Place of PublicationProvidence
    PublisherIEEE
    Pages181-190
    Number of pages10
    ISBN (Print)9781467300131
    DOIs
    Publication statusPublished - 2011
    Event2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011 - Providence, RI, United States
    Duration: 23 Oct 201128 Oct 2011

    Publication series

    NameVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings

    Conference

    Conference2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011
    CountryUnited States
    CityProvidence, RI
    Period23/10/1128/10/11

    Keywords

    • crisis management
    • geovisualization
    • scenario-based design
    • situational awareness
    • social media analytics
    • spatio-temporal analysis
    • text analytics
    • ITC-CV

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