2021
Text customization is an important step in the creation of a graph. In this post, we will see how we can change text fonts with {showtext} and add more changes with {ggtext}.
Inserting the legend directly into a graph often makes it easier to read. In this post, we will see a quick example on how to annotate directly single or faceted area plots.
This post presents a simple framework to help you quickly transform your soil profiles observations into a graph, with {ggplot2} and {ggpattern}. after the plotting one soil profile, we see how to represent a whole chronosequence.
The {ggplot2}] extension, developed by Hadley Wickham, is a powerful tool for making plots with R. In this introduction to {ggplot2}, we will see here how to use this extension to compare nitrogen fertilizer use efficiencies between different countries of the world.
Soil texture diagrams are widely used in agronomy but can be difficult to plot. Let’s see how we can use {ggplot2} and {ggtern} to estimate and represent an important parameter related to soil texture: the water storage capacity.
The tidyverse is a collection of extensions designed to work together and based on a common philosophy, making data manipulation and plotting easier. In this tutorial, following the tidyverse philosophy, we will see how we can program the first part of a crop model: the estimation of the number of plant leaves from temperature data.