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Geospatial Analyst

By Redeep

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.

Included skills

Geospatial Analyst

Slice and map geospatial data without a GIS license. Use for shapefiles, GeoPackage, GeoJSON, or GeoTIFF rasters; zonal statistics like mean elevation per county; buffers and spatial joins; or publication maps with choropleths, hillshade, insets, and zoom breakouts. Downloads come from vetted official sources such as USGS, NOAA, and the US Census Bureau.

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Before you start

Best for: Researchers, analysts, and ops teams who work with maps, boundaries, elevation, or any data with coordinates.

Bring: GIS files (Shapefile, GeoPackage, GeoJSON), rasters (GeoTIFF/DEM), or the name of a region plus the vetted dataset to fetch for it.

Connections

No connector is required.

Setup

  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.