2011 IEEE Conference on Visual Analytics Science and Technology (VAST) 2011
DOI: 10.1109/vast.2011.6102456
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SensePlace2: GeoTwitter analytics support for situational awareness

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 foc… Show more

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Cited by 297 publications
(191 citation statements)
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References 26 publications
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“…Furthermore, technological innovations have opened map creation and use to the larger public, creating opportunities to conduct user research through volunteered geographic information (VGI) platforms (e.g. Crampton et al, 2013;MacEachren et al, 2011) or services like Amazon Mechanical Turk (e.g. Kosara & Ziemkiewicz, 2010).…”
Section: User Study Materialsmentioning
confidence: 99%
“…Furthermore, technological innovations have opened map creation and use to the larger public, creating opportunities to conduct user research through volunteered geographic information (VGI) platforms (e.g. Crampton et al, 2013;MacEachren et al, 2011) or services like Amazon Mechanical Turk (e.g. Kosara & Ziemkiewicz, 2010).…”
Section: User Study Materialsmentioning
confidence: 99%
“…Geovisual analytics approaches also allow social media posts to be filtered, putting focus on interactive visualization and exploration rather than on completely automated machine learning methods. MacEachren et al (2011) presented a geovisual analytics approach for the collection and filtering of geocoded tweet content within a visual interface to support crisis management to organize and understand spatial, temporal and thematic aspects of evolving crisis situations. Also Morstatter et al (2013) used visualization techniques for organizing tweets by these aspects, for instance time graphs, which show the number of tweets matching a query per day, network graphs, showing which matching tweets were propagating most and heat maps, showing the spatial distribution of these tweets.…”
Section: State Of the Art And Related Workmentioning
confidence: 99%
“…Goodchild and Glennon, 2010;Li and Goodchild, 2010;Zook et al, 2010;MacEachren et al, 2011), gathering perspectives of citizens (e.g. Ricker et al, 2012), studying the spread of diseases (e.g.…”
Section: User-generated Contentmentioning
confidence: 99%