Analyzes OpenStreetMap road networks and geographic data using topological graph structures and GF(3) validation.
This skill enables advanced analysis of OpenStreetMap (OSM) data by transforming complex road networks into mathematical graphs. It leverages DuckDB for high-performance spatial querying and NetworkX for sophisticated routing and topological validation. A unique feature of this skill is the implementation of GF(3) coloring, which provides a mathematical framework to validate network consistency, identify structural anomalies like dead ends, and ensure balanced connectivity across geographic manifolds. It is a powerful tool for developers and data scientists working in urban planning, logistics, and geographic information systems (GIS).
Key Features
01Implements GF(3) trit-based coloring for network consistency and balance analysis
02Integrates with the Overpass API for real-time geographic data retrieval
03Generates colored shortest-path routing with custom weight and hop-count metrics
04Extracts road networks from OSM PBF or Parquet files using DuckDB Spatial
057 GitHub stars
06Performs deep topological validation including connectivity and self-loop detection
Use Cases
01Developing specialized routing engines with topological constraints
02Validating the integrity and connectivity of municipal road networks
03Conducting urban planning research using graph-based geographic queries
