A geographic information system (GIS) is a conceptualized framework that provides the ability to capture and
analyze spatial and geographic data. GIS applications (or GIS apps) are computer-based tools that allow the
user to create interactive queries (user-created searches), store and edit spatial and non-spatial data,
analyze spatial information output, and visually share the results of these operations by presenting them as
maps.
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab QGIS docker images. Please submit Pull Requests to the GitLab repository. Mirror of
Containerised QGIS source installation. Please submit Pull Requests to the GitLab repository. Mirror of
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
A Python package for installing optional dependencies for geemap and leafmap.
Docker image for GDAL and jupyter-notebook
QGIS 2.18.x from qgis.org running in Docker (docker image available from https://hub.docker.com/r/mundialis/docker-qgis2)
docker image for postgresql w/ postgis & pgvector
Docker container for Terracotta - a light-weight and versatile XYZ tile server written in pure Python - based on the Python 3.8 image.
The Ease and Equity of Point of Interest Accessibility via Public Transit in Major US Cities
Contains Dockerfile for building Jupyter GIS image.
toolbox Dockerfile and how-to to make osm-history-renderer easier to use
QGIS 3.10.x from qgis.org running in Docker (docker image available from https://hub.docker.com/r/mundialis/docker-qgis3)
Migrated to: https://gitlab.com/Oslandia/qgis/docker-qgis