Geostatistical modelling for predicting soil organic carbon change – a tutorial
  1. Preface
  • Preface
  • 1  Introduction
  • 2  Soil organic carbon stock of an example area
  • 3  Geostatistical theory and ordinary block kriging
  • 4  Application of ordinary block kriging to the example area
  • 5  Incorporating covariates in machine learning regression kriging
  • 6  Predicting SOC stock change
  • 7  Effect of sample size on prediction accuracy
  • 8  Conclusion
  • References
  • Appendices
    • A  Running the tutorial in R

Geostatistical modelling for predicting soil organic carbon change – a tutorial

Authors
Affiliation

Gerard Heuvelink

ISRIC-World Soil Information

Diana Collazos Cortes

ISRIC-World Soil Information

Published

2026-09-01

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Licensing This tutorial is released under the GNU GPL v3.0 license. GNU GPL v3.0 is a strong copyleft license. This means that you may use the code and change/modify the code. If you distribute copies or modifications of the code, you are required to release these updates under the GPL v3 license.

Citation Heuvelink, G. B. M., Collazos Cortes, D. F. (2026). “Geostatistical modelling for predicting soil organic carbon change – a tutorial”. ISRIC - World Soil Information. https://doi.org/10.17027/kcwd-yq42

Acknowledgements This tutorial was developed within the MRV4SOC project, which received funding from the European Union’s Horizon Europe research programme under grant agreement n° 101112754.

“Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Horizon Europe programme. Neither the European Union nor the granting authority can be held responsible for them.”

1  Introduction