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Geovisual Analytics and Interactive Machine Learning for Situational Awareness

2019/10/11 by Morteza Karimzadeh, Karimzadeh, Morteza, Luke S. Snyder +3
Computer Science · Environmental Science · Social Sciences · #Computers and Society (cs.CY) #Data Visualization and Analytics #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Public Relations and Crisis Communication #Species Distribution and Climate Change

paper · pdf · doi:10.48550/arxiv.1910.05441

openalex publication_date 2019/10/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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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