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Geovisual Analytics and Interactive Machine Learning for Situational Awareness

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arxiv 1910.05441 v1 pith:YZIUFY7E submitted 2019-10-11 cs.HC cs.CYcs.LG

Geovisual Analytics and Interactive Machine Learning for Situational Awareness

classification cs.HC cs.CYcs.LG
keywords analyticsfirstinteractiveawarenessdesigngeographicinformationlearning
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The first responder community has traditionally relied on calls from the public, officially-provided geographic information and maps for coordinating actions on the ground. The ubiquity of social media platforms created an opportunity for near real-time sensing of the situation (e.g. unfolding weather events or crises) through volunteered geographic information. In this article, we provide an overview of the design process and features of the Social Media Analytics Reporting Toolkit (SMART), a visual analytics platform developed at Purdue University for providing first responders with real-time situational awareness. We attribute its successful adoption by many first responders to its user-centered design, interactive (geo)visualizations and interactive machine learning, giving users control over analysis.

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