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.
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.
Migrated to: https://gitlab.com/Oslandia/qgis/docker-qgis
(GPU accelerated) Multi-arch (linux/amd64, linux/arm64/v8) JupyterLab QGIS docker images. Please submit Pull Requests to the GitLab repository. Mirror of
docker image for postgresql w/ postgis & pgvector
QGIS 3.10.x from qgis.org running in Docker (docker image available from https://hub.docker.com/r/mundialis/docker-qgis3)
toolbox Dockerfile and how-to to make osm-history-renderer easier to use
QGIS 2.18.x from qgis.org running in Docker (docker image available from https://hub.docker.com/r/mundialis/docker-qgis2)
Containerised QGIS source installation. Please submit Pull Requests to the GitLab repository. Mirror of
Dockerfile with GRASS GIS 7.6.svn and Python 3 (outdated, use https://github.com/OSGeo/grass/tree/master/docker
Docker image for GDAL and jupyter-notebook
The Ease and Equity of Point of Interest Accessibility via Public Transit in Major US Cities
Docker image with datascience-notebook's jupyter and some geo packages