16 Data Analytics: Cosimulation

Опубликовано: 12 Март 2026
на канале: GeostatsGuy Lectures
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Data Analytics and Geostatistics Undergraduate Course, Professor Michael J. Pyrcz

Lecture Summary:
Lecture on cosimulation for spatial modeling with more than one feature (2 features) at a time. I focus on the derivation and demonstration of the Markov-Bayes collocated cokriging cosimulation method and then include p-field and cloud transform methods.

Here is a list of all of my spatial estimation and simulation lectures:
1. Trend Modeling -    • 12 Data Analytics: Trend Modeling  
2. Kriging -    • 12b Geostatistics Course: Kriging  
3. Kriging Walkthrough in R -    • 12c Data Analytics: Kriging in R  
4. Kriging Walkthrough in Python -    • 12d Python Data Analytics: Simple Kriging  
5. Simulation -    • 13 Data Analytics: Simulation  
6. Indicator Kriging and Simulation -    • 14 Data Analytics: Indicator Methods  
7. Facies Modeling with Multiple Point Simulation and Object-based Simulation -    • 15 Data Analytics: Facies Modeling  
8. Cosimulation -    • 16 Data Analytics: Cosimulation  

Free, Online Course e-book Chapters:
Cosimulation - https://geostatsguy.github.io/Geostat...
Theory and well-documented workflows linked to the lectures and interactive Python dashboards.

Course Summary:
Data Analytics and Geostatistics is an undergraduate course that I teach at The University of Texas at Austin. We build up fundamental spatial, subsurface, geoscience and engineering modeling, from probability, statistics, heterogeneity measures, spatial continuity models, spatial estimation, spatial simulation, model checking, decision making, and machine learning basics. I provide accessible content to help you face the digital revolution!

My Shared Educational Content:
YouTube:    / @geostatsguylectures  
GitHub: https://github.com/GeostatsGuy
Course e-book: https://geostatsguy.github.io/Geostat...
I share all of my university educational content to support students and working professionals interested to learn data analytics, geostatistics, and machine learning.

More About the Author:
https://michaelpyrcz.com

I hope that you find my educational course content helpful on your data science journey,

Professor Michael J. Pyrcz
Cockrell School of Engineering
Jackson School of Geosciences
The University of Texas at Austin

#dataanalytics #datascience #geostatistics #machinelearning