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 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

• Code basic machine learning algorithms
• Apply geostatistical spatial models to solve real-world problems
• Understand advanced principles and techniques of geostatistical modeling
• Use techniques confidently in practical applications

• Basic familiarity with relevant concepts and terminology
• Readiness for practical exercises or case-based learning