High-Level Project Summary
Wildfires impact the environment causing adverse effects that need to be monitored and visualized in real time. WorlWind NASA's goal is to solve the direct and fast communication between users and organizations for the rescue of victims and injured people due to wildfires. The monitoring of catastrophic events on the planet is important to monitor them, because it allows to analyze in real time what is happening with the event, taking preventive measures for the care of humanity and the environment. The integration of free technological tools such as Angular, Node.js, Tailwind, ggplot2 will allow to generate interactive graphics in real time to visualize these phenomena.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
OBJECTIVE
Implement TAILANOPLOT tools for real-time monitoring and visualization of global forest fires.
TOOLS: Tailwind, Angular programming language, Node.js, JavaScript, ggplot2 Data Visualization Organizational Library (TAILANOPLOT)
Space Agency Data
Hackathon Journey
Teamwork, research, learning new tools, data analysis. The challenge was chosen for its global impact and to have an improvement approach to provide a solution to the information, through the integration of open source software.
Discovery of new methodologies and tools that help to perform an analysis, and data processing to convert graphic reports that facilitate the understanding of results.
References
Hamdy, O., Gaber, H., Abdalzaher, M. S., & Elhadidy, M. (2022). Identifying exposure of urban area to certain seismic hazard using machine learning and GIS: A case study of greater cairo. Sustainability (Switzerland), 14(17) doi:10.3390/su141710722
Neger, C., de Manzo Delgado, L. L., & Galicia Sarmiento, L. (2022). Geographical research on forest fires in mexico: A bibliometric and territorial perspective. [La investigación geográfica de los incendios forestales en México: una perspectiva bibliométrica y territorial] Investigaciones Geograficas, (108) doi:10.14350/rig.60488
Tags
#Json #R #Angular #Javascript #Ggplot2 #CSV #Json