r-duckspatial

Community

Big spatial data in R, memory-light.

Authorarthurgailes
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables efficient analysis of large spatial datasets in R that exceed available memory, by leveraging DuckDB's spatial capabilities for out-of-memory processing.

Core Features & Use Cases

  • Memory-Efficient Operations: Perform spatial joins, filtering, and transformations on datasets larger than RAM.
  • Lazy Evaluation: Data remains in DuckDB until explicitly collected, optimizing performance.
  • Use Case: Analyze nationwide parcel data for spatial queries or perform areal interpolation on large census geographies without crashing your R session due to memory limits.

Quick Start

Use the r-duckspatial skill to open the file 'large_spatial_data.gpkg' and perform a spatial join with 'study_area.gpkg' using the 'intersects' predicate.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: r-duckspatial
Download link: https://github.com/arthurgailes/awesome-r-skills/archive/main.zip#r-duckspatial

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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