🌏 Data Visualization Dashboard

This dashboard presents environmental datasets from NASA, ESA, UKMO, and MOI for Cockburn Sound (CS), providing interactive visualizations to explore the data.

🌐 Live Demo

Check out the Live Dashboard to see it in action!

📋 Table of Contents

1. Overview
2. Features
3. Installation
4. Usage
5. How to Explore
6. Contributing
7. License
8. Contact Information

🚀 Key Features

• 📊 Time Series Visualization: Visualizes datasets over time.
• 🗺️ Interactive Map: Explore dataset positions and view WMS layers.
• ℹ️ Dataset Info: Learn more about each dataset, its source, and data processing.

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/ronygolderku/seaf_dashboard.git
   cd seaf_dashboard

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Run the application:

   python app.py

📊 Usage

• Sidebar Navigation: Click the 'Datasets' button to explore datasets.
• Map Interaction: Zoom and click on map layers to explore data points.
• Customization: Adjust the filters to view the data you want.

🤝 Contributing

Contributions are welcome! Feel free to fork the repository and submit a pull request.

📬 Contact Information

For assistance or feedback:

• Email: Md Rony Golder

🔗 Acknowledgments

Thanks to WAMSI and agencies like NASA, ESA, UKMO, and MOI for supporting this project.