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Modeling with spatial and spatiotemporal data in R

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Modeling with 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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Production PlaceWageningen

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Software requirements: opengeohub/r-geo docker image (R, rgdal, terra, mlr3), QGIS, Google Earth Pro This tutorial is an introduction to RStudio, and shows how to start packages and load data. It also serves as an introduction to spatiotemporal datasets, eumap spatiotemporal datasets, as for example: landcover 2000-2020 training dataset (Witjes et al, 2021). It also focuses on visualizing spatiotemporal data and data summaries.
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