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Using R for Geostatistical Geospatial Modeling

Using R for Geostatistical Geospatial Modeling is the second course in a series of three, designed to teach you the art and science of geostatistical...

By Jeffrey Yarus on Coursera

About This Course

Using R for Geostatistical Geospatial Modeling is the second course in a series of three, designed to teach you the art and science of geostatistical geospatial modeling. In this course, you will delve into the world of geostatistical geospatial modeling, using R, a widely-used interpretive coding language that is both user-friendly and immensely powerful. 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.

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Frequently Asked Questions

How much does Using R for Geostatistical Geospatial Modeling cost?

Visit the Using R for Geostatistical Geospatial Modeling course page for current pricing and available discounts.

Who teaches Using R for Geostatistical Geospatial Modeling ?

Using R for Geostatistical Geospatial Modeling is taught by Jeffrey Yarus, Case Western Reserve University.

What skill level is Using R for Geostatistical Geospatial Modeling for?

This course is designed for all levels learners.

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Students0
DurationSelf-paced
LevelAll Levels
Languageen
PlatformCoursera