Geovisual analytics and interactive machine learning for situational awareness

M Karimzadeh, LS Snyder, DS Ebert - arXiv preprint arXiv:1910.05441, 2019 - arxiv.org
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 …

Situational awareness enhanced through social media analytics: A survey of first responders

LS Snyder, M Karimzadeh, C Stober… - … on Technologies for …, 2019 - ieeexplore.ieee.org
Socialmedia data has been increasingly used to facilitate situational awareness during
events and emergencies such as natural disasters. While researchers have investigated …

Web-based interactive social media visual analytics

D Rodríguez-Baquero, J Zhang, DS Ebert, SA Matei - 2017 - docs.lib.purdue.edu
Real-time social media platforms enable quick information broadcasting and response
during disasters and emergencies. Analyzing the massive amount of generated data to …

Scalable, situationally aware visual analytics and applications

T Eaglin - 2017 - search.proquest.com
There is a need to understand large and complex datasets to provide better situa-tional
awareness in-order to make timely well-informed actionable decisions in critical …

EarthquakeAware: Visual Analytics for Understanding Human Impacts of Earthquakes from Social Media Data

S Chen, S Li, L Xie, Y Zhong, Y Han… - 2019 IEEE Conference …, 2019 - ieeexplore.ieee.org
In this paper, we propose EathquakeAware, a visual analytics system for social media
visualization. Our system supports analyzing geo-tagged messages from different …

[PDF][PDF] Visually contextualizing social media within spatial, temporal and thematic constraints for disaster situation awareness

B Tomaszewski, K Dickens, AA Sawant… - … , dynamics, and scale …, 2014 - geoanalytics.net
Social media such as Twitter is an increasingly important “big data” source for disaster
situation awareness. However, social media often lacks context in terms of relating social …

Enhancing Situational Awareness in Surveillance: Leveraging Data Visualization Techniques for Machine Learning-based Video Analytics Outcomes

BR Ardabili, S Yao, AD Pazho, L Bourque… - arXiv preprint arXiv …, 2023 - arxiv.org
The pervasive deployment of surveillance cameras produces a massive volume of data,
requiring nuanced interpretation. This study thoroughly examines data representation and …

NEAT-Novel Emergency Analysis Tool

W Jentner, J Buchmüller, F Sperrle… - … IEEE Conference on …, 2019 - ieeexplore.ieee.org
We present NEAT-a Visual Analytics approach to the collaborative management of large-
scale emergencies. NEAT unifies the analysis and annotation of heterogeneous, uncertainty …

Semi-supervised machine learning framework for fusing georeferenced data from social media and community-driven applications

C Salley, N Mohammadi, JE Taylor - Computing in Civil Engineering …, 2021 - ascelibrary.org
Digital forms of citizen communication with response organizations through social media are
becoming more widespread during disasters. Public agencies often use this information to …

Social media driven big data analysis for disaster situation awareness: A tutorial

A Pal, J Wang, Y Wu, K Kant, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Situational awareness tries to grasp the important events and circumstances in the physical
world through sensing, communication, and reasoning. Tracking the evolution of changing …