Global Analysis for Weather And Seismic Activity

This is a Python-based web application that displays global weather data (temperature and precipitation) alongside seismic activity (earthquakes) on a dynamic, real-time map.

The application uses a Flask backend to process data and generate interactive maps using Matplotlib and Cartopy, which are then served to the frontend for visualization.

---

Features

Weather Data

• Displays global temperature and precipitation data.
• Automatically updates the map at regular intervals to reflect recent weather conditions.
• Fetches weather data using APIs or libraries like Meteostat.

Seismic Activity

• Displays earthquake data, including:
  • Magnitude of seismic events.
  • Coordinates (latitude, longitude) of the epicenters.
• Automatically refreshes to show the latest seismic activity.

Dynamic Visualization

• Maps are generated dynamically and displayed on the frontend.
• Real-time auto-refresh every 30 seconds.
• Fully responsive map that fits the screen size.

---

Technologies Used

Backend

• Python 3: Core language for the backend.
• Flask: Web framework to serve data and generate map images.
• Matplotlib: For creating the map visualizations.
• Cartopy: For rendering global maps and handling geographic projections.
• ObsPy: For fetching seismic data.
• Meteostat: For retrieving weather data (temperature and precipitation).

Frontend

• HTML5: Structure of the web page.
• CSS3: Styling the webpage for a responsive design.
• JavaScript: For auto-refreshing the map image every 30 seconds.

---

Installation

1. Enter Virtual Environment:

   python3 -m venv gasawa
   source gasawa/bin/activate

2. Clone the repository:

   git clone https://github.com/TrynaThinkOf1/TerraMetrics.git
   cd TerraMetrics

3. Install dependancies:

   pip install -r requirements.txt

4. Run the server:

   python3 BACKEND/server.py

5. Navigate to http://127.0.0.1:5000/