11 Data Analytics: Variogram Interpretation

Описание: Data Analytics and Geostatistics Undergraduate Course, Professor Michael J. Pyrcz

Lecture Summary:
Lecture on variogram interpretation. Now that you have calculated an experimental variogram, we must interpret it before we can model it, e.g., geometric anisotropy, zonal anisotropy, cyclicity and trend.

Here is a list of all of my variogram associated lectures:
1. Stationarity -    • 10 Data Analytics: Spatiotemporal Stationa...  
2. Spatial Continuity -    • 10b Data Analytics: Spatial Continuity  
3. Variogram Introduction -    • 10c Data Analytics: Variogram Introduction  
4. Variogram Calculation -    • 10d Data Analytics: Variogram Calculation  
5. Variogram Search Template Parameters -    • 10e Data Analytics: Variogram Parameters  
6. Variogram Calculation Python Walkthrough -    • 10fPython Data Analytics Reboot: Variogram...  
7. Variogram Directional Calculation Python Walkthrough -    • 10fPython Data Analytics Reboot: Variogram...  
8. Variogram Interpretation -    • 11 Data Analytics: Variogram Interpretation  
9. Variogram Modeling -    • 11b Data Analytics: Variogram Modeling  
10. Variogram Modeling Python Walkthough -    • 11c Python Data Analytics Reboot: Variogra...  

Free, Online Course e-book Chapter:
Variogram Interpretation - 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