So I have used my geostatistics skills to make a wide variety of synthetic truth populations an sample datasets to support my educational content and research and in the spirit of open …

Interested in partnering, supporting my graduate student research or my Subsurface Data Analytics and Machine Learning consortium (co-PI is Professor John Foster)? My research …

Course Summary: Data Analytics and Geostatistics is an undergraduate course that I teach at The University of Texas at Austin.

A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are …

GSLIB is a practical and extremely robust set of code for building spatial modeling workflows. I created the GeostatsPy Python Package to support my students in my courses:

Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.

To support my students in my Data Analytics and Geostatistics, Spatial Data Analytics and Machine Learning courses and anyone else learning data analytics and machine learning, I …

Welcome to pygeostat, a Python package for geostatistical modeling. Pygeostat is aimed at preparing spatial data, scripting geostatistical workflows, modeling using tools developed at …

The goal of this e-book is to teach the application of geostatistics in Python, for those new to geostatistics I provide theory and links to my course content, and for those experienced …

Nov 12, 2020 · Pyrcz’s most popular video, “Geostatistics Course: Kriging,” covers the process of interpolation to make spatial estimates and has more than 17,000 views. This is just one of …