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All Projects → GeostatisticsLessons → GeostatisticsLessonsNotebooks

GeostatisticsLessons / GeostatisticsLessonsNotebooks

Licence: MIT License
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

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Jupyter Notebook
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Geostatistics Lessons Notebooks

Geostatistics Lessons is an open disclosure of some guidance in geostatistical modeling reviewed by an editorial board. These python notebooks and data are prepared by Lesson authors to supplement their Lesson. As new Lessons are authored and notebooks created, this repository will be updated.

Lessons

Lessons with notebooks and data available include:

  • An Application of Bayes Theorem to Geostatistical Mapping (notebook and lesson), Jared Deutsch and Clayton Deutsch, 2018
  • Multidimensional Scaling (notebook and lesson), Steven Mancell and Clayton Deutsch, 2019
  • Collocated Cokriging (notebook and lesson), Matthew Samson and Clayton Deutsch, 2020

Dependencies

Notebooks are implemented in Python 3 using the scientific python stack (including NumPy, Pandas, Matplotlib). Refer to the individual notebooks for any particular dependencies.

License

Notebooks are licensed under the MIT license separately from Lessons. Refer to Geostatistics Lessons for licensing information on the Lessons.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].