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

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

192 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 (US)
Title of host publicationVAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings
Pages181-190
Number of pages10
DOIs
StatePublished - Dec 1 2011
Event2nd IEEE Conference on Visual Analytics Science and Technology 2011, VAST 2011 - Providence, RI, United States
Duration: Oct 23 2011Oct 28 2011

Publication series

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

Other

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

Fingerprint

Regional planning
Decision making
Monitoring
Testing

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

MacEachren, A. M., Jaiswal, A., Robinson, A. C., Pezanowski, S., Savelyev, A., Mitra, P., ... Blanford, J. (2011). SensePlace2: GeoTwitter analytics support for situational awareness. In VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings (pp. 181-190). [6102456] (VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings). https://doi.org/10.1109/VAST.2011.6102456
MacEachren, Alan M. ; Jaiswal, Anuj ; Robinson, Anthony C. ; Pezanowski, Scott ; Savelyev, Alexander ; Mitra, Prasenjit ; Zhang, Xiao ; Blanford, Justine. / SensePlace2 : GeoTwitter analytics support for situational awareness. VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. pp. 181-190 (VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings).
@inproceedings{f656bf0b5dcb446187f1fb128fdf365e,
title = "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 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.",
author = "MacEachren, {Alan M.} and Anuj Jaiswal and Robinson, {Anthony C.} and Scott Pezanowski and Alexander Savelyev and Prasenjit Mitra and Xiao Zhang and Justine Blanford",
year = "2011",
month = "12",
day = "1",
doi = "10.1109/VAST.2011.6102456",
language = "English (US)",
isbn = "9781467300131",
series = "VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings",
pages = "181--190",
booktitle = "VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings",

}

MacEachren, AM, Jaiswal, A, Robinson, AC, Pezanowski, S, Savelyev, A, Mitra, P, Zhang, X & Blanford, J 2011, SensePlace2: GeoTwitter analytics support for situational awareness. in VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings., 6102456, VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings, pp. 181-190, 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.2011.6102456

SensePlace2 : GeoTwitter analytics support for situational awareness. / MacEachren, Alan M.; Jaiswal, Anuj; Robinson, Anthony C.; Pezanowski, Scott; Savelyev, Alexander; Mitra, Prasenjit; Zhang, Xiao; Blanford, Justine.

VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. p. 181-190 6102456 (VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings).

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

TY - GEN

T1 - SensePlace2

T2 - GeoTwitter analytics support for situational awareness

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 - 2011/12/1

Y1 - 2011/12/1

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.

UR - http://www.scopus.com/inward/record.url?scp=84862908495&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862908495&partnerID=8YFLogxK

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

ER -

MacEachren AM, Jaiswal A, Robinson AC, Pezanowski S, Savelyev A, Mitra P et al. SensePlace2: GeoTwitter analytics support for situational awareness. In VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings. 2011. p. 181-190. 6102456. (VAST 2011 - IEEE Conference on Visual Analytics Science and Technology 2011, Proceedings). https://doi.org/10.1109/VAST.2011.6102456