Soils4Africa Digital Soil Mapping Manual
Preface
This manual accompanies the Soils4Africa Digital Soil Mapping workflow, offering clear and reproducible R scripts to transform harmonized soil-point and environmental data into gridded soil property maps. Designed for both researchers and practitioners alike, it provides standardized and transparent methods for mapping soil properties, while also quantifying prediction uncertainty across Africa.
Licence This tutorial is released under the CC-BY 4.0 license. This means that you share or adapt the material but must give appropriate credit.
Citation Genova, G., Collazos Cortes, D., Kempen, B., 2025. Soils4Africa Digital Soil Mapping Manual. Soils4Africa, EU Horizon 2020 Grant agreement ID: 862900. Doi: 10.17027/s4a-dsm-kehq-ce32