Visualizing geo-temporal documents: an application to data from crisis maps

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dc.contributor.authorAman, Hina
dc.contributor.examiningcommitteeLeung, Carson (Computer Science) Mandal, Saumen (Statistics)en_US
dc.contributor.supervisorIrani, Pourang (Computer Science)en_US
dc.date.accessioned2014-06-25T20:52:56Z
dc.date.available2014-06-25T20:52:56Z
dc.date.issued2012en_US
dc.date.issued2014en_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractCrowd-sourced crisis mapping is a relatively new phenomenon and platform that enables the collection and visualization of real-time crisis data submitted by users through social media tools and cellular technologies. Crisis maps are generally used by both state and nonstate actors for sense-making and as a reference point for action. The current crisis map visualizations only show the location documents such as reports or short messages have been generated from. Such a limited representation fails to immediately show important content, such as themes from a document and their changes over time. As a result, sense-making becomes time-consuming and cognitively demanding. I present a set of visualization tools: Geo-Temporal Tag Visualization (GTViz), Geo-Temporal Pies and Geo-SparkClouds that treat the tags on the crowd-sourced reports as spatio-temporal textual datasets and provide interaction tools to explore the content of the reports. I also demonstrate the value of such tools with case studies and a controlled user study.en_US
dc.description.noteOctober 2014en_US
dc.identifier.citationHina Aman, Pourang Irani and Hai-Ning Liang. A Review of Common Tasks Supported by Information Communication Technology for Times of Emergency. In Proceedings of the 9th international conference on Information Systems for Crisis Response and Management (ISCRAM), 2012en_US
dc.identifier.citationHina Aman, Pourang Irani and Fereshteh Amini. Revisiting Crisis Maps with Geo-Temporal Tag Visualization. In Pacific Visualization Symposium (PacificVis), 2014en_US
dc.identifier.urihttp://hdl.handle.net/1993/23659
dc.language.isoengen_US
dc.publisherISCRAMen_US
dc.publisherIEEE PacificVisen_US
dc.rightsopen accessen_US
dc.subjectvisualizationen_US
dc.subjectgeo-temporal documentsen_US
dc.subjectcrisis mappingen_US
dc.subjectneo-geographyen_US
dc.titleVisualizing geo-temporal documents: an application to data from crisis mapsen_US
dc.typemaster thesisen_US
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