10g Python Data Analytics Reboot: Directional Variograms

Python Jupyter Notebook walkthrough for working with directional variograms with the GeostatsPy package. I cover ocular inspection, variogram maps and multiple directional variograms. Modeling anisotropic spatial continuity is essential to spatial data analytics and geostatistics. Follow along with the workflow available here:
git.io/JvYps

[@kasra545]

Thank you professor.

[@msane2103]

Thanks! Super helpful.

[@GeostatsGuyLectures]

I'm stoked to hear that! Thank you!

[@anantjain5829]

Hello Dr. Micheal, can you please touch up more on how does the variogram map actually froms from the anisotropy ellipsoid and how does the sill vary, I mean the sill is always constant right to 1 for a given distribution?

[@AdrianZhang-ch4hw]

Hi Professor I am very confused by the pair search and ellipse search....Thank you so much! If you or anyone can help me .

[@shishirhossain1767]

Please assign these newly uploaded videos to any playlist. Otherwise getting confused about their chronology. I am following your lectures since last year. I am very greatful to you. Please link them or demonstrate the serial of them to watch, which after which. Hope you understand.

[@GeostatsGuyLectures]

Thank you for the feedback. A lot of new content and updates on old videos, I'll check this out when the end of semester rush slows a bit!