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Geopandas spatial join starter

Skill ma-compbio-lab/SkillFoundry/skills/earth-climate-and-geospatial-science/geopandas-spatial-join-starter

A framework for discovering, compiling, and validating reusable skills for scientific agents.

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill geopandas-spatial-join-starter

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SKILL.md

1.1 KB, 289 tokens by cl100k_base, as published. Nobody here has run it

GeoPandas Spatial Join Starter

Use this skill to run a deterministic point-in-polygon join with GeoPandas and summarize the result in compact JSON.

What it does

  • Builds a toy vector dataset with two regions and four observation points.
  • Performs a spatial join to assign points to regions.
  • Reprojects the joined data to EPSG:3857 and records projected bounds.
  • Emits a reusable JSON summary for downstream geospatial workflows.

When to use it

  • You need a local, no-auth starter for vector geospatial analysis.
  • You want a minimal example of GeoDataFrame, sjoin, and to_crs.
  • You want a repo-aware wrapper that fixes the PROJ data-path issue automatically.

Example

slurm/envs/geospatial/bin/python skills/earth-climate-and-geospatial-science/geopandas-spatial-join-starter/scripts/run_geopandas_spatial_join.py \
  --out scratch/geopandas/spatial_join_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/earth-climate-and-geospatial-science/geopandas-spatial-join-starter/tests -p 'test_*.py'
  • Repository smoke: python3 -m unittest tests.smoke.test_frontier_domain_skills -v

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