California Wildfires Dashboard

A one-stop shop for glearing insights from California Wildfires data

Welcome

Welcome to our California Wildfires Dashboard! This tool will give you insights in how wildfire has impacted California in the past decade (2013-2025).

Motivation and Purpose

California is highly susceptible to wildfires due to its dry, hot climate. With global warming intensifying, wildfires are expected to become more frequent and severe. Understanding their historical impact is crucial. Our dashboard consolidates key wildfire data into a single, accessible platform, offering valuable insights for local residents, policymakers, and anyone interested. By providing a comprehensive overview, it supports informed decision-making and effective prevention strategies to aid in mitigation efforts.

With the California Wildfires Dashboard you can:

• Explore the impact of wildfires across different counties in California
• Analyze financial loss trends over time due to wildfires
• Investigate how various building structures are affected by wildfires

Data Attribution

This project uses data from the CAL FIRE Damage Inspection (DINS) data available from the California open data portal.

Usage

Access our Webapp here

Dashboard in action

Have a look at the following demo:

Installation and running the app locally

To run the dashboard locally, please follow these steps:

1. Install Dependencies

Clone the repository and install dependencies:

git clone https://github.com/UBC-MDS/DSCI-532_2025_27_CA_Wildfire-Dashboard.git
cd DSCI-532_2025_27_CA_Wildfire-Dashboard
conda env create --file environment.yaml

2. Run the app

You can run the dash app by running:

conda activate 532-27
python -m src.app

The dashboard will be accessible at http://127.0.0.1:5000/ in your browser.

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Reporting issues

If you encounter any issues with the dashboard or have feature requests, please feel free to open an issue—we’d love to hear your feedback!

Contributing

We welcome meaningful contributions to the project, please follow the our contribution guideline for more information and instructions.

License

Software

MIT License

Copyright (c) 2025 Gunisha Kaur, Thamer Aldawood, Elaine Chu, Forgive Agbesi

This project is licensed under the MIT License.

Non-Software Materials

All non-software materials in this repository are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to:

• Share – Copy and redistribute the material.
• Adapt – Remix, transform, and build upon the material.
• Attribution Required – Give credit and indicate changes made.

See the full license details here.