Make sense of your data
Turn Geographic Data into Maps and Statistics
Technical skill: Geospatial Analyst
Analyze maps, GIS files, and rasters the way a desktop GIS would: zonal statistics, buffers, spatial joins, and choropleths, ending in publication-quality figures with insets and zoom breakouts. Layers stay editable, and each dataset records its official-source provenance.
What you need to get started.
- Best for
- Researchers, analysts, and ops teams who work with maps, boundaries, elevation, or any data with coordinates.
- You provide
- GIS files (Shapefile, GeoPackage, GeoJSON), rasters (GeoTIFF/DEM), or the name of a region plus the vetted dataset to fetch for it.
- Technical name
- Geospatial Analyst
- Also known as
- GIS analysis
- map making
- zonal statistics
- ArcGIS alternative
- QGIS workflows
- Software
- Redeep 0.2.8 or newer on macOS · Claude Desktop / Claude Code · Codex CLI
- MCP connectors
- None.
- Credential checklist
- None.
- Setup after install
- No connector is required; the skill runs on the local Python geo stack.
- First use prompts to install geopandas, rasterio, and friends into the run_code environment; approve once.
- Datasets download from vetted official sources (USGS, NOAA, Census, Natural Earth) with a recorded provenance file.
Artifact SHA-256
View the skill
058cb633a5180850bb49d0d7f4e6b49d42d7d07a8b4691212416cb8c96afd881
Redeep