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

•

Ciencia de Datos y ML

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

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.

Características Principales

01Builds directed NetworkX graphs optimized for geographic routing algorithms

02Implements GF(3) coloring for advanced topological consistency validation

03Extracts road networks from OSM PBF and Parquet files into structured graphs

04Integrates DuckDB Spatial for efficient querying of nodes, ways, and relations

052 GitHub stars

06Queries real-time map data directly via the Overpass API integration

Casos de Uso

01Identifying and repairing disconnected segments or dead ends in street networks

02Calculating shortest-path routing with custom topological weights and attributes

03Converting raw OSM PBF data into queryable spatial databases for analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi osm-topology

For use in Claude.ai and ChatGPT

Download Skill