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Spatial joins

Skill cxcscmu/SkillLearnBench/skills/b1-one-shot-gemini-3.1-flash-lite-preview/earthquake-plate-calculation/spatial-joins

Provides techniques for performing spatial operations like joins, contains, and distance calculations to identify relations between geographic features.From its SKILL.md

Install
npx -y skills add cxcscmu/SkillLearnBench --skill spatial-joins

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SKILL.md

0.8 KB, 134 tokens by cl100k_base, as published. Nobody here has run it

Spatial Operations with GeoPandas

Point-in-Polygon

Use geopandas.sjoin() to identify points contained within specific polygons (e.g., plates).

# Join points and polygons
joined = gpd.sjoin(points_gdf, polygons_gdf, how='inner', predicate='within')

Distance Calculation

To find the distance from points to boundaries, reproject to an appropriate CRS (meters) and calculate the distance to the nearest boundary.

# Find distance from each point to the nearest polygon boundary
distances = points_gdf.distance(boundaries_gdf.unary_union)

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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