View services with QGIS server
QGIS is mostly known as a GIS desktop application. In recent years the community prepared a server edition of QGIS. The server provides datasets via WMS, WFS and OGC API Features interfaces.
The advantage of using QGIS both as a desktop and server component is that the maps generated on the server will display exactly the same as those prepared on the desktop client.
Prepare a view service in QGIS Desktop
Use an existing QGIS project, or create a new project with some sample data. If you include any data, place it in a folder within the current folder, so docker can access it as a docker mounted volume.
Name your project project.qgs
.
On project settings, open the WMS properties to add relevant metadata.
Publish a view service
Navigate with a console application to the folder which contains project.qgs
.
We’re running QGIS server as a docker container based on https://hub.docker.com/r/camptocamp/qgis-server. Run the QGIS container:
docker run -p 8080:80 --volume=$PWD:/etc/qgisserver camptocamp/qgis-server
Try the service via:
http://localhost:8080/?SERVICE=WMS&REQUEST=GetCapabilities
Validate the view service
In order for the INSPIRE validator to access your local service, you need to set up a tunnel.
QGIS Desktop as a client for INSPIRE data
QGIS can act as a client for WMS, WFS, WCS, CSW, Sensorthings API and OGC API Features. A dedicated recipe about adding data from data services to qgis is available.
The QGIS data model is based on data layers and has minimalistic support for joins. QGIS is therefore less optimal for rich GML data as used in INSPIRE. There have been initiatives to bring hierarchical data to QGIS, such as GMLAS but adoption has been limited. The Application Schema functionality has been introduced in GDAL/OGR, the QGIS plugin builds on top of it. OGR converts the contents of the GML to a relational database. Individual tables from that database are loaded in the QGIS interface.