Introduction
Welcome to this open course on Digital Soil Mapping (DSM) using R.
The goal of this resource is to help you apply DSM concepts in practice. You’ll find worked examples that align with DSM theory, alongside step-by-step exercises that show how to handle soil and spatial data, build predictive models, and generate digital soil maps using R.
This course complements the book Using R for Digital Soil Mapping, offering:
- Additional worked examples
- Easier navigation between topics
- Periodic updates as new methods and packages emerge
You can access the book through public or university libraries, or purchase a hard copy or eBook.
📘 Topics Covered
- Digital soil mapping: The fundamentals
- R Literacy for digital soil mapping
- Useful R packages for DSM
- Getting spatial in R
- Exploratory data analysis for DSM
- Continuous soil attribute modelling
- Categorical soil attribute modelling
- Uncertainty quantification in DSM
- Bespoke DSM methods
- Digital soil assessments
🛠 What You’ll Need
To follow along, you’ll need the ithir R package.
👉 Install ithir
You can also check the R session configuration used to run the code examples.