taylorsyde / Texas-Wildfire-Dashboard

Fighting Fire with Data

Table of Contents

1. About The Project
2. Considerations
3. Process
4. ETL
5. Visualizations
6. Dashboard
7. Deployment
8. Data Sources
9. Tools
10. Team

About the Project

The Texas Outdoors and Natue Department has recently received an additional $10 million in state funding for wildfire prevention. The department has hired our firm to help make an informed decision about where to best invest their funds.

Our goal is to provide a data overview and ..... to support consistent, comparable set of scientific results to be used as a foundation for wildfire mitigation and prevention planning across Texas. Results of the assessment can be used to help prioritize areas in the state where tactical analyses, community interaction and education, or mitigation treatments might be necessary to reduce risk from wildfires. -tamu

Considerations

• Education and Marketing: Which audience is best suited to receive wildfire prevention education?
• Law Enforcement: Would an increase in penalties create positive change?
• Area/Regions of Concern: Which locations would benefit the most from the deployment of preventative measures?
• Prediction: Are there significant changes in the intensity, speed, or size of wildfires?

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Process

• ETL
• Visualizations
• Dashboard
• Deployment

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ETL

Pandas Jupyter Notebook JSON CSV xxxxxxxxxxxxxxx

Visualizations

Through the use of data visualizations, large volumes of data can be readily transformed into comprehensible information to assess high risk areas and help prioritize preventive action.

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Dashboard

Bootstrap Chart.js xxxxxxxxxxxxxxxxxxx

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Deployment

Flask Api Heroku PostgreSQL xxxxxxxxxxxxx

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Data Sources

• U.S. DEPARTMENT OF AGRICULTURE - RDS-2013-0009.4_SQLITE
• Drought.gov
• xxxx

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Tools

• MongoDB Atlas/PostgreSQL/pgAdmin

• Python/Pandas/Flask

• Jupyter Notebook

• Javascript/Plotly/D3/Chart.js/Bootstrap

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Team

Dillon Carter ---|--- Felecia Helms ---|--- Darrell Horich ---|--- Taylor Lyons

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