Crop modelsAdvanced
APSIM Maize Growth Simulation
From preparing site data to running the APSIM NG maize model, analysing how climate and management practices affect yield.
APSIM Simulation ToolkitR / RStudio
4–8 hours 6 stepsView workflow
The academic standard for statistical computing and data visualisation; ggplot2 charts appear widely in top journals.
R is a programming language designed for statistical analysis, and works very well with the RStudio integrated development environment. Charts produced with the ggplot2 package meet Nature/Science submission requirements out of the box. The tidyverse ecosystem covers the whole workflow of data cleaning, visualisation and modelling.
Common packages: ggplot2, tidyverse, lme4, vegan, raster/terra
Use cases: statistical modelling, publication-quality figures, ecological data analysis, agricultural data analysis
From preparing site data to running the APSIM NG maize model, analysing how climate and management practices affect yield.
A standardised workflow from raw data to submission-quality figures, covering R/Python plotting and post-processing in Inkscape.
Starting from 16S amplicon sequencing data and a sample metadata table: quality control, feature table construction, diversity analysis, differential analysis and visualisation.