What is GF(3) coloring in this context?

GF(3) coloring is a mathematical framework used to validate the topological consistency and balance of geographic networks using ternary logic (1, 0, -1).

How does it handle large OSM datasets?

It utilizes DuckDB and the spatial extension to handle large-scale geographic data efficiently through Parquet files and optimized SQL queries.

Can I use this for vehicle routing applications?

Absolutely. The skill builds directed graphs that support road-specific attributes, making it ideal for calculating shortest paths and analyzing traffic flow.

Does this skill require external map data?

Yes, it is designed to work with OSM PBF or Parquet files, but it also includes built-in functions to fetch live data using the Overpass API.

OSM Topology & Graph Analysis

Name: OSM Topology & Graph Analysis
Author: plurigrid

byplurigrid

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Data Science & ML

Analyzes OpenStreetMap road networks using graph theory and GF(3) topological coloring for robust geographic data processing.

About

The OSM Topology skill provides advanced capabilities for transforming OpenStreetMap data into navigable, mathematically validated graphs. It seamlessly integrates with DuckDB for high-performance spatial querying and NetworkX for complex network analysis, enabling developers to perform routing, connectivity audits, and topological consistency checks. By utilizing GF(3) coloring schemes, the skill identifies structural errors and ensures data integrity across geographic manifolds, making it an essential tool for GIS developers and data scientists working with large-scale spatial datasets.

Key Features

Builds directed NetworkX graphs optimized for geographic routing algorithms
Implements GF(3) coloring for advanced topological consistency validation
Extracts road networks from OSM PBF and Parquet files into structured graphs
Integrates DuckDB Spatial for efficient querying of nodes, ways, and relations
2 GitHub stars
Queries real-time map data directly via the Overpass API integration

Use Cases

Identifying and repairing disconnected segments or dead ends in street networks
Calculating shortest-path routing with custom topological weights and attributes
Converting raw OSM PBF data into queryable spatial databases for analysis

About

Key Features

Builds directed NetworkX graphs optimized for geographic routing algorithms
Implements GF(3) coloring for advanced topological consistency validation
Extracts road networks from OSM PBF and Parquet files into structured graphs
Integrates DuckDB Spatial for efficient querying of nodes, ways, and relations
2 GitHub stars
Queries real-time map data directly via the Overpass API integration

Use Cases

Identifying and repairing disconnected segments or dead ends in street networks
Calculating shortest-path routing with custom topological weights and attributes
Converting raw OSM PBF data into queryable spatial databases for analysis