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.

Version 1.0.0Redeep 0.2.8+Publisher Redeep

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
  1. No connector is required; the skill runs on the local Python geo stack.
  2. First use prompts to install geopandas, rasterio, and friends into the run_code environment; approve once.
  3. Datasets download from vetted official sources (USGS, NOAA, Census, Natural Earth) with a recorded provenance file.
Artifact SHA-256058cb633a5180850bb49d0d7f4e6b49d42d7d07a8b4691212416cb8c96afd881
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