2021-09-06, 09:00–10:30, HUGOTech
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 R
Software requirements: opengeohub/r-geo docker image [https://hub.docker.com/r/opengeohub/r-geo] (R, rgdal, terra, mlr3), QGIS, Google Earth Pro
Content:
Introduction to RStudio, starting packages and loading data,
Introduction to spatiotemporal datasets,
eumap spatiotemporal datasets example: landcover 2000-2020 training dataset (Witjes et al, 2021),
Visualizing spatiotemporal data and data summaries,
Technical director at OpenGeoHub Foundation
- Spatiotemporal modeling of environmental dynamics at global scale: building open multiscale data cubes
- Opening plenary
- Awards and closing plenary
- Spatiotemporal Ensemble ML in R
- Computing with Cloud-Optimized GeoTIFFs in R
- Data visualization: from R to Google Earth and QGIS
- Modeling with spatial and spatiatemporal data in R