Boxplots based on raster data in GRASS GIS

grass gis
R
python
open-source
visualisation
data exploration
Different methods in GRASS GIS to compute the area of the categories. tags: raster, surface area, category layer
Author

Paulo van Breugel

Published

November 27, 2022

Boxplots are a great way to get a quick overview of the distribution of your data, to compare the distributions of different data sets, and to identify outliers in your dataset. They are easily created using tabular data as an input. In GRASS GIS for example, you can use the d.vect.colbp addon for that. But what about raster data as input? Wouldn’t it be nice to be able to create raster based boxplots directly in GRASS?

This short tutorial was published as a blog post. Click here to go to post.