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geospatial-viewers

geospatial-viewers

github.com/isaaccorleyData & databases7958 installsUpdated 12w ago
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About geospatial-viewers

geospatial-viewers is a set of tools for quick inspection of geospatial data, intended for people working with raster, vector, and tabular files. It combines interactive Qt viewers with a terminal-inline preview tool, run using uvx.

Key features

  1. 01Interactive raster viewing
  2. 02Interactive vector viewing
  3. 03Terminal-inline previews
  4. 04CSV and Parquet analysis
  5. 05Vector table viewing and filtering

Use cases

  1. 01Inspect GeoTIFF, HDF, or NetCDF rasters
  2. 02Browse vector datasets interactively
  3. 03Preview CSV or Parquet in a terminal
  4. 04View geospatial data over SSH

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/isaaccorley/geospatial-skills --skill geospatial-viewers

After installing, type/geospatial-viewersin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
viewgeom.md
viewinline.md
viewtif.md

Details

From the project README

Geospatial Viewers

Three CLI tools for quick-look inspection of geospatial data. Always run them via uvx so they are auto-installed without polluting the project environment.

ToolPurposePyPI
viewtifInteractive Qt viewer for rasters (GeoTIFF, HDF, NetCDF, FileGDB)uvx viewtif
viewgeomInteractive Qt viewer for vector datasetsuvx viewgeom
viewinlineNon-interactive terminal-inline viewer (rasters, vectors, CSV, Parquet)uvx viewinline

Choosing the Right Tool

  • Need interactive zoom/pan/contrast? Use viewtif (rasters) or viewgeom (vectors).
  • Quick inline preview in iTerm2/WezTerm/Konsole? Use viewinline (no GUI window, renders in terminal).
  • CSV/Parquet analysis (stats, histograms, SQL)? Use viewinline.
  • Vector file as table (describe, filter, sort)? Use viewinline --table.
  • Headless server / SSH / HPC? Use viewinline (renders on local terminal, no X11 needed).

Running with uvx

Always prepend uvx to auto-install and run without modifying the local environment:

uvx viewtif file.tif
uvx viewgeom boundaries.geojson
uvx viewinline file.tif

For optional extras, use the --from flag:

uvx --from "viewtif[geo]" viewtif raster.tif --shapefile overlay.shp
uvx --from "viewtif[netcdf]" viewtif data.nc
uvx --from "viewgeom[parquet]" viewgeom data.geoparquet

Quick Reference

# Raster inspection
uvx viewtif image.tif
uvx viewtif image.tif --shapefile boundaries.shp
uvx viewtif image.tif --rgb 4 3 2
uvx viewtif image.tif --vmin 280 --vmax 320
uvx viewtif huge_raster.tif --scale 10

# NetCDF / HDF
uvx --from "viewtif[netcdf]" viewtif data.nc --subset 1 --timestep 100

# FileGDB raster
uvx viewtif "OpenFileGDB:/path/to.gdb:RasterName"

# Remote files
AWS_NO_SIGN_REQUEST=YES uvx --from "viewtif[geo]" viewtif s3://bucket/raster.tif --shapefile local.shp

# Vector inspection
uvx viewgeom boundaries.geojson
uvx viewgeom landuse.shp --column area_sqkm
uvx viewgeom earthquake.geojson --filter "mag > 5"
uvx viewgeom earthquake.geojson --duckdb "SELECT * FROM data WHERE mag > 5"
uvx viewgeom earthquake.geojson --duckdb "SELECT mag FROM data WHERE mag > 5" --save filtered.geojson

# Terminal-inline preview
uvx viewinline file.tif --colormap
uvx viewinline sentinel2.tif --rgb 4 3 2
uvx viewinline boundaries.geojson --color-by population
uvx viewinline file.nc --subset 1 --timestep 10

# CSV / Parquet analysis
uvx viewinline data.csv --describe
uvx viewinline data.csv --hist area_km2 --bins 30
uvx viewinline data.csv --scatter longitude latitude
uvx viewinline data.csv --sql "SELECT State, AVG(Income) FROM data GROUP BY State"

# Vector as table
uvx viewinline counties.shp --table --describe
uvx viewinline data.geoparquet --table --where "POP > 100000" --sort POP --desc

# Image gallery
uvx viewinline outputs/ --gallery 4x3

References

  • references/viewtif.md
  • references/viewgeom.md
  • references/viewinline.md

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