How does the color derivation stay consistent?

The skill uses a SplitMix64 generator seeded by the SHA-256 hash of the geohash string, ensuring that the same location always results in the same color and trit value.

Does this work with standard Geohash.org specifications?

Yes, it follows the standard Base32 geohash alphabet and encoding logic, making it compatible with existing geohash implementations.

What is the benefit of hierarchical geohashing?

Hierarchical geohashing allows you to group locations at different scales (e.g., city, neighborhood, or building level) simply by changing the length of the geohash string.

What is GF(3) coloring in this context?

It is a mathematical method of assigning one of three deterministic states (represented as +1, 0, and -1) to a geohash cell to facilitate balanced topological analysis and clustering.

Can this skill help with database optimization?

Yes, it includes specific SQL implementation patterns for DuckDB to aggregate location data by geohash prefixes, which is more efficient than processing raw coordinates.

Geohash Coloring & Spatial Indexing

Name: Geohash Coloring & Spatial Indexing
Author: plurigrid

byplurigrid

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Data Science & ML

Generates deterministic GF(3) colored identifiers for hierarchical spatial indexing and location-based clustering.

This skill provides a specialized implementation for encoding geographic coordinates into hierarchical geohashes enhanced with deterministic color-coding based on GF(3) finite field logic. By assigning specific 'trits' (+1, 0, -1) and hues to spatial cells, it enables developers to perform advanced spatial clustering, privacy-preserving location representation, and balanced topological analysis within spatial databases like DuckDB. It is particularly useful for building decentralized location services, visualizing complex spatial distributions, or managing large-scale geographic datasets where deterministic grouping is required.

Key Features

01Automated neighbor detection with integrated trit-balance analysis

02Hierarchical spatial indexing with variable precision levels (1 to 9)

037 GitHub stars

04Deterministic GF(3) color and trit derivation from geohash strings

05Privacy-preserving location representation via prefix-based hashing

06DuckDB SQL integration for advanced spatial clustering and aggregation

Use Cases

01Implementing privacy-aware location services that mask exact coordinates using hierarchical prefixes

02Visualizing spatial density and distribution using deterministic, reproducible color schemes

03Analyzing topological balance and distribution in decentralized spatial networks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi geohash-coloring

For use in Claude.ai and ChatGPT

Download Skill