GRID3 Data Science User Guide
Access, analyze, and visualize GRID3 data with Python
1 Welcome to the GRID3 Data Science User Guide!
This site is a data scienceโfocused user guide for working with GRID3 datasets. It combines Jupyter notebooks with structured documentationn.
The guide is intended for: - Data scientists - GIS analysts - Researchers working with spatial data - Python users working with APIs and feature services
2 How this guide is organized
- User Guides โ step-by-step notebooks
- Data Access โ APIs, Feature Services, metadata
- Visualization โ maps, plots, spatial workflows
- Reference โ reusable patterns and examples
Source of truth:
All examples are authored as Jupyter notebooks and rendered into this site using Quarto.
2.1 Video Overview
2.2 ๐ Getting started
If youโre new, start here. This is the full catalog of notebooks in the guide.
These notebooks walk through: - Querying a GRID3 Feature Service - Converting responses to GeoDataFrames - Visualizing results with Folium - Analyzing road networks with OSMnx - Much more!
2.2.1 ๐ก Data Access
Query Feature Services, download datasets, and work with APIs.
2.2.2 ๐ User Guide Template
A template for creating GRID3 data user guides.
2.2.3 ๐ Road Network Analysis
Common patterns for spatial and tabular analysis.
2.2.4 ๐บ๏ธ Visualization
Create interactive and static maps with Folium and GeoPandas.