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Docker images for GIS processing with Python.
All containers here extend the one provided by OSGeo with GDAL installed, https://hub.docker.com/r/osgeo/gdal.
Images built from dockerfiles here defined are available
in the DockerHub under chbrandt/gispy
Especifically, the following tags are associated to dockerfiles in here:
gispy:gdal
chbrandt/gispy:gdal-3.2.0chbrandt/gispy:gdalchbrandt/gispy:latestgispy:jupyterhub
chbrandt/gispy:jupyterhubJupyterHub image default user:
- username:
user- password:
123456
Basic container
The simplest container to run here goes:
bash% docker run -it --rm chbrandt/gispy:gdal
, and you should land in the container shell (-it).
Exit (ctrl-d) and the container will be remove too (--rm)
To have some (geo) data in there, you can mount a volume (-v),
bash% docker run -it --rm --name gispy \ -v $PWD:/mnt/data \ chbrandt/gispy:gdal
, where current working directory ($PWD) is being mapped to container's /mnt/data.
Jupyter container
In the following examples, localhost' port 8000 is being used to run the container
running Jupyter ("gdal_jupyter").
To run the image using the default user user:123456,
bash% docker run -it --rm --name jupyterhub \ -p 8000:8000 -v $PWD:/mnt/data \ chbrandt/gispy:jupyterhub
To run the image using GitHub authentication,
bash% docker run -it --rm --name gispy_jupyterhub \ -p 8000:8000 -v $PWD:/mnt/data \ -e GITHUB_CLIENT_ID=<your-github-client-id> \ -e GITHUB_CLIENT_SECRET=<your-github-client-secret> \ chbrandt/gispy:jupyterhub
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