References

[HTF09]

H. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York, United States, 2009.

[Pyr21]

M.J. Pyrcz. Data Science Interactive Python: Educational Data Science Interactive Python Dashboards Repository. GeostatsGuy/DataScienceInteractivePython, 2021. doi:10.5281/zenodo.5564966.

[Pyr24a]

missing publisher in pyrczappliedgeostats2024

[Pyr24b]

M.J. Pyrcz. Data Analytics and Geostatistics, GeostatsGuy Lectures. https://www.youtube.com/playlist?list=PLG19vXLQHvSB-D4XKYieEku9GQMQyAzjJ, August 2024.

[Pyr24c]

M.J. Pyrcz. GeostatsPy Demos: GeostatsPy Python Package for Spatial Data Analytics and Geostatistics Demonstration Workflows Repository. GeostatsGuy/GeostatsPyDemos, 2024. doi:10.5281/zenodo.12667035.

[Pyr24d]

M.J. Pyrcz. GeostatsPy: Open-source Geostatistics in Python. In J. Yarus, T. Coburn, M. Maucec, and M.J. Pyrcz, editors, Applied Spatiotemporal Data Analytics and Machine Learning. IntechOpen, London, United Kingdom, 2024. doi:10.5772/intechopen.114981.

[Pyr24e]

M.J. Pyrcz. MachineLearningDemos: Python Machine Learning Demonstration Workflows Repository. GeostatsGuy/MachineLearningDemos, 2024. doi:10.5281/zenodo.13835318.

[PD14]

M.J. Pyrcz and C.V. Deutsch. Geostatistical Reservoir Modeling. Oxford University Press, New York, United States, 2014.