gds

The gds image is the core of the gds_env. It extends the official Jupyter minimal-notebook with a comprehensive geospatial stack for both Python and R, plus a set of development tools.

Contents

Base

• JupyterLab, Notebook, and Hub
• LaTeX distribution and pandoc (for PDF/document export)

Python geospatial libraries — including geopandas, pysal, rasterio, xarray, osmnx, dask-geopandas, contextily, movingpandas, momepy, and many more. Full list below.

R geospatial libraries — including sf, terra, spdep, tmap, tidyverse, ggplot2, and many more, with an R kernel for Jupyter via IRkernel and Python↔R interop via rpy2. Full list below.

Development tools

• Quarto — scientific publishing system
• Jekyll — static site generator
• tippecanoe — vector tileset builder
• decktape — HTML slides → PDF
• gpq — GeoParquet validator
• Vim — terminal editor

Package lists

Full lists of installed packages are available for each release on the repository:

• Python stack (amd64)
• Python stack (arm64)
• R stack (amd64)
• R stack (arm64)

Install

Pull the image from Docker Hub:

docker pull darribas/gds:11.0

For instructions on running the image, see the Docker install guide.