Geopandas
Geopandas enables geospatial data analysis using Python, streamlining mapping and spatial modeling tasks for efficient location-based insights.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add geopandas npx -- -y @trustedskills/geopandas
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"geopandas": {
"command": "npx",
"args": [
"-y",
"@trustedskills/geopandas"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides access to GeoPandas, a Python library that extends pandas to work with geospatial data. It allows you to read shapefiles and other geographic formats into a dataframe, perform spatial operations like intersections and unions, and visualize geographical data. Essentially, it bridges the gap between tabular data analysis and mapping capabilities.
When to use it
- Analyzing election results by county: Load precinct boundaries and overlay them with voter turnout data for visual comparison.
- Identifying areas at risk of flooding: Combine elevation data with rainfall predictions to map potential flood zones.
- Optimizing delivery routes: Integrate road network data with customer locations to find the most efficient delivery paths.
- Creating interactive maps: Visualize demographic data on a map, allowing users to explore different regions and trends.
Key capabilities
- Reading shapefiles
- Performing spatial joins
- Calculating areas and distances
- Geospatial data visualization
Example prompts
- "Load the US states shapefile and display it."
- "Find all cities within 10 kilometers of a specific latitude and longitude."
- "Calculate the area of each country in Europe from a shapefile."
Tips & gotchas
- Requires Python and GeoPandas to be installed. Ensure these dependencies are met before using this skill.
Tags
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