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genpark-quadtree-spatial-partitioning-engine-skill

mcp
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SUMMARY

Recursive 2D Quadtree spatial decomposition partitioning points into quadrants with range queries

README.md

Quadtree Spatial Partitioning Skill

High-efficiency, zero-dependency Python implementation of 2D Quadtree Spatial Partitioning for hierarchical point indexing and clustering.

Features

  • Hierarchical Quadrant Splitting: Seamlessly partitions bounding planes into NW, NE, SW, and SE subtrees.
  • Logarithmic Spatial Lookup: Enables (O(\log N)) point insertion and regional window queries.
  • Zero External Dependencies: Pure Python standard library.
  • Native MCP Protocol: JSON-RPC 2.0 stdio server compatible with Claude Desktop, Cursor, and Windsurf.

Architecture

graph TD
    Root["Root Quadrant (0, 0, W, H)"] --> NW["NW Quadrant"]
    Root --> NE["NE Quadrant"]
    Root --> SW["SW Quadrant"]
    Root --> SE["SE Quadrant"]

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