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Geostatistics Lessons is an open disclosure of some guidance in geostatistical modeling. These Python notebooks and data are prepared by Lesson authors and associated contributors to supplement the Lessons. As new Lessons are authored and notebooks created, this repository will be updated.

Lessons with notebooks and data available include:

• An Application of Bayes Theorem to Geostatistical Mapping (notebook andlesson), Jared Deutsch and Clayton Deutsch, 2018
• Multidimensional Scaling (notebook andlesson), Steven Mancell and Clayton Deutsch, 2019
• Collocated Cokriging (notebook andlesson), Matthew Samson and Clayton Deutsch, 2020
• The Nugget Effect (notebook andlesson), Eric Daniels and Diogo Silva, 2024
• The Pairwise Relative Variogram (notebook andlesson), Haoze Zhang and Ryan Barnett, 2024
• Introduction to Choosing a Kriging Plan (notebook andlesson), James Eke and Ryan Barnett, 2024
• Trend Modeling and Modeling with a Trend (notebook andlesson), Sebastian Sanchez, Ben Harding, and Ryan Barnett, 2024
• Change of Support and the Volume Variance Relation (notebook andlesson), Haoze Zhang and Ryan Barnett, 2024
• Angle Specification (notebook andlesson), Ben Harding and Matthew Deutsch, 2025
• Cokriging with Unequally Sampled Data (notebook andlesson), Luis Davila and Ryan Barnett, 2025
• Transforming Data to a Gaussian Distribution (notebook andlesson), Haoze Zhang, Ben Harding, and Ryan Barnett, 2025
• Calculation and Modeling of Variogram Anisotropy (notebook andlesson), Haoze Zhang, Luis Davila, and Ryan Barnett, 2025
• Choosing the Discretization Level for Block Property Estimation (notebook andlesson), Haoze Zhang and Ryan Barnett, 2025
• Projection Pursuit Multivariate Transform (notebook andlesson), Luis Davila and Ryan Barnett, 2025

Notebooks are implemented in Python using the scientific python stack (NumPy, Pandas, Matplotlib, ...). Refer to the individual notebooks for any particular dependencies.

Some notebooks leverage the Resource Modeling Solutions Platform (RMSP), a geostatistical modeling package that provides commercial and academic licenses. These notebooks augment the Lesson, but the interested reader is free to implement in any geostatistical modeling software they are interested in using.

Notebooks are licensed under theMIT license separately from the Lessons. Refer toGeostatistics Lessons for licensing information on the Lessons.