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Earthquake Data Visualization Demo

This is a simple demo application to visualize earthquake data in real-time.

• earthquake.py: This script scrapes earthquake data from the AFAD website, stores it in a CSV file, and runs in an infinite loop, continuously checking for new data every 5 minutes.
• earthquakevis.py: This script reads the CSV file created by earthquake.py, extracts the location data and displays a heatmap on a Flask web app using the Folium library.
• If you want to capture live data and view it at the same time, run it at the same time.

Requirements

• Python 3.7 or higher
• Pandas
• Requests
• BeautifulSoup4
• Folium
• Flask
• Flask-DT

Installation

1. Clone the repository to your local machine.
2. Install the required libraries by running the command pip install -r requirements.txt in your terminal or command prompt.
3. Run the command python earthquake.py to start scraping data and storing it in a CSV file.
4. Open a new terminal or command prompt window and run the command python earthquakevis.py to start the Flask web app.
5. Navigate to http://127.0.0.1:5000/iframe in your web browser to view the earthquake heatmap.

File Structure

• earthquake.py: The Python script that scrapes earthquake data and stores it in a CSV file.
• earthquakevis.py: The Python script that reads the CSV file and displays a heatmap on a Flask web app.
• templates/: This directory contains the HTML templates used by the Flask web app.
• static/: This directory contains the CSS and JavaScript files used by the HTML templates.

License

This project is licensed under the terms of the MIT license.