GeoJSON Processing with GeoPandas
SkillDev toolsLoading and processing GeoJSON earthquake and plate boundary data with GeoPandas for spatial analysis.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the GeoJSON Processing with GeoPandas skill
What this skill tells your AI
The instructions your AI receives, as published by cxcscmu/skilllearnbench in skills/b1-one-shot-claude-opus-4-6/earthquake-plate-calculation/geojson-processing/SKILL.md and read by ahel’s review.
Loading GeoJSON Files
import geopandas as gpd
# Standard GeoJSON
gdf = gpd.read_file("file.geojson")
# USGS Earthquake GeoJSON specifics:
# - Coordinates are [longitude, latitude, depth]
# - Time is in milliseconds since epoch
# - Properties include: mag, place, time, type, id
USGS Earthquake Time Conversion
import pandas as pd
from datetime import datetime, timezone
# Convert epoch ms to ISO 8601
timestamp_ms = 1735537742808
dt = datetime.fromtimestamp(timestamp_ms / 1000, tz=timezone.utc)
iso_str = dt.strftime("%Y-%m-%dT%H:%M:%SZ")
Extracting Coordinates from GeoJSON Points
# After loading with GeoPandas
gdf["longitude"] = gdf.geometry.x
gdf["latitude"] = gdf.geometry.y
Writing Results to JSON
import json
result = {
"id": "us6000pgf9",
"place": "13 km NW of Port-Vila, Vanuatu",
"time": "2024-12-30T03:29:02Z",
"magnitude": 5.1,
"latitude": -17.6555,
"longitude": 168.2183,
"distance_km": 1234.56
}
with open("answer.json", "w") as f:
json.dump(result, f, indent=2)
Signals
- GitHub stars
- 83
- Forks
- 5
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
geojson-processing- Source
- github.com/cxcscmu/skilllearnbench