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 …

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 …

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 …

RescueMark: Visual Analytics of social media data for guiding emergency response in disaster situations: Award for skillful integration of language model

A Jeitler, A Türkoglu, D Makarov… - … IEEE Conference on …, 2019 - ieeexplore.ieee.org
This paper presents RescueMark, a web-based visual analytics tool for analyzing disaster
situations and guiding emergency response. In disaster situations operators must take quick …

Can Twitter save lives? A broad-scale study on visual social media analytics for public safety

D Thom, R Krüger, T Ertl - IEEE transactions on visualization …, 2015 - ieeexplore.ieee.org
The use of social media monitoring for public safety is on the brink of commercialization and
practical adoption. To close the gap between research and application, this paper presents …

[PDF][PDF] TwitterHitter: Geovisual analytics for harvesting insight from volunteered geographic information

JJD White, RE Roth - Proceedings of GIScience, 2010 - geography.wisc.edu
Here, we introduce TwitterHitter, an application that leverages GIScience and information
visualization techniques to harvest spatiotemporal insights from microblogging generally …