4. geostatsr - many well-documented R demonstration workflows from my recorded lectures on my YouTube channel. Follow along and learn!
and a variety of complete courses on spatial data analytics, geostatistics, and machine learning with lectures and exercises.
GeostatsGuy Repositories on GitHub
I share a lot of code to support my students and anyone interested to learn about spatial data analytics, geostatistics and machine learning. I have over 30 repositories including these highlights.
1. PythonNumericalDemos - many well-documented Python Jupyter demonstration workflows from my recorded lectures on my YouTube channel. Follow along and learn!
2. ExcelNumericalDemos - want to learn probability, statistics, and spatial data analytics in the ubiquitous Excel platform? I have you covered, but promise to try some Python!
3. GeoDataSets - a variety of spatial datasets used in my well-documented numerical demonstrations.
MICHAEL J. PYRCZ, Ph.D., P.Eng., Associate Professor
Cockrell School of Engineering, Jackson School of Geosciences
and Bureau of Economic Geology
The University of Texas at Austin, Austin, Texas, USA