Web-based 3D Smog Visualization for Air Pollution Analysis
Faculty Mentor
Dr. Weitian Tong, Dr. Felix Hamza-Lup
Location
Poster 206
Session Format
Poster Presentation
Academic Unit
Department of Computer Science
Keywords
Allen E. Paulson College of Engineering and Computing Student Research Symposium, Air Quality Index, AQI
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Presentation Type and Release Option
Presentation (File Not Available for Download)
Start Date
2022 12:00 AM
January 2022
Web-based 3D Smog Visualization for Air Pollution Analysis
Poster 206
Data visualization is a powerful tool for discovering relationships in data. Air quality data is one domain where data visualization is important due the features being highly noisy [4]. In air pollution data communication schemes, there is lack of risk perception in how the data is portrayed [6]. The aim of this research is the implementation of a web-based, nonproprietary system for better 3-dimensional (3D) air quality visualization over Joshua Tree National Park.
