Explore Data with EDITO

Learn how to access and analyze marine data through EDITO's data infrastructure.

🎯 What You'll Learn

• Navigate the EDITO STAC (SpatioTemporal Asset Catalog)
• Access data in modern formats (Zarr, Parquet, GeoParquet)
• Use Python and R to query and analyze marine datasets
• Work with ARCO (Analysis Ready Cloud Optimized) data

🚀 Quick Start

1. Follow the presentation: Data Exploration Guide
2. Explore the examples: Check out the various data viewers and scripts
3. Start analyzing: Use the provided templates and examples

📁 Contents

• viewparquet/ - Interactive Parquet data viewer
• shiny_parquet_app/ - Shiny application for data exploration
• ../presentations/explore_data_slidedeck.html - Interactive presentation

🛠️ Requirements

• Python (with packages: pystac-client, xarray, pyarrow)
• R (with packages: rstac, arrow, sf)

📚 Key Files

• view_parquet.Rmd - Interactive data exploration notebook
• shiny_parquet.R/ - Shiny application code
• data/ - Example datasets

🎥 Presentation

View the interactive presentation to get started with exploring marine data through EDITO.

🤝 Contributing

Found an issue or have suggestions? Please contribute to improve this workshop!

📖 Additional Resources

• EDITO Data API
• STAC Specification
• PySTAC Documentation