CSE 578 - Data Visualization project
Jitesh Pabla, Debarshi Roy, Shivank Tiwari, Danielle Jacobs, Chirra Reddy Sai Sankeerth Reddy, Adam Brossman
Visualization tools augment human analysis and provide new insights. The yearly Visual Analytics Science and Technology (VAST) Challenges test researchers' ability to transform data into consumable information for assisting humans in fictional but realistic scenarios. The VAST 2019 Mini-Challenge 3 asks participants to determine problems an earthquake causes for a city. In the 2019 scenario, the city is experiencing seismic activity and needs advice on distributing resources. Through applying data visualization techniques learned throughout CSE575, our team delivers an interactive tool for city officials and citizens to understand how the city is affected by quakes.
2019 VAST MC3: https://vast-challenge.github.io/2019/MC3.html
Everything you need to run this visualization is here in this github. Please clone the git repo. We recommend you view in FireFox Browser.
clone:
git clone https://github.com/asu-cse578-f2020/VAST-2019-MC3-Shivank.git
through ssh:git clone git@github.com:asu-cse578-f2020/VAST-2019-MC3-Shivank.git
launch: launch using your prefered method or the below:
Python2: python -m SimpleHTTPServer 8000
Python3: python3 -m http.server 8000
