Skills you'll gain

There are 6 modules in this course

This course builds upon the foundations laid in Course #1, Basic Principles of Geostatistical Modeling, taking your understanding of geostatistical geospatial modeling to the next level. You will learn how to code basic machine learning algorithms and geostatistical spatial models to solve real-world problems. By the end of this course, you will have a solid understanding of the principles and techniques of geostatistical geospatial modeling, and be able to apply them in your own work with confidence.

Overview of R

Analytics for Geostatistical Modeling

Geostatistical Spatial Modeling (Variograms)

Geostatistical Estimation- Kriging in R

Conditional Simulation and Post Processing Geostatistical Models

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