2021-09-06, 09:00–10:30, Succes Avenue (former Kleine veer zaal)
The first 30 minutes will be dedicated to Software/libraries preparations and user support
Software requirements: Python, Jupyter, QGIS, GRASS GIS, R
Content:
General concepts and main advantages of docker containers
What is Docker image and where to find it?
Starting with the docker image opengeohub/py-geo.g
Which tag/version should I use?
Install new OS and python packages inside the container
Share files between the host machine and the container
OSGeo live ready to use in the VirtualBox
Supporting time to help with software and libraries preparations
The next 60 minutes will be dedicated to the introduction to spatial and spatiotemporal data in Pythin
Software requirements: opengeohub/py-geo docker image (gdal, rasterio, geopandas, eumap)
Content:
Introduction to JupytetLab and python libraries
Introduction to spatiotemporal datasets,
Theoretical background for spatial and spatiotemporal machine learning,
Eumap library (gapfilling and mapper modules)
Eumap spatiotemporal datasets example: landcover 2000-2020 training dataset (Witjes et al, 2021)