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Introduction to spatial and spatiotemporal data in R

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Logo of OpenGeoHub FoundationOpenGeoHub Foundation
 Hengl, Tomislav

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Introduction to spatial and spatiotemporal data in R
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57
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
The first 30 minutes are dedicated to Software/libraries preparations and user support; Software requirements: Python, Jupyter, QGIS, GRASS GIS, R This tutorial starts with the explanation of general concepts and main advantages of docker containers, answering questions such as: What is Docker image and where to find it? Starting with the docker image opengeohub/py-geo.g? The first 30 minutes are dedicated to Software/libraries preparations and user support; Software requirements: Python, Jupyter, QGIS, GRASS GIS, R This tutorial starts with the explanation of general concepts and main advantages of docker containers, answering questions such as: What is Docker image and where to find it? Starting with the docker image opengeohub/py-geo.g? Which tag/version should I use? The session also shows how to install new OS and python packages inside the container, how to share files between the host machine and the container, OSGeo live ready to use in the VirtualBox.
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