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.
Using R for Geostatistical Geospatial Modeling
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Using R for Geostatistical Geospatial Modeling
This course is part of Practical Geospatial Geostatistical Modeling Specialization
Instructor: Jeffrey Yarus
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Data Cleansing
- Descriptive Statistics
- Package and Software Management
- Simulations
- Box Plots
- Statistical Programming
- Statistical Modeling
- Data Analysis
- Spatial Analysis
- Geospatial Information and Technology
- Statistical Methods
- Spatial Data Analysis
- Exploratory Data Analysis
- Plot (Graphics)
- Geostatistics
- Geospatial Mapping
- Data Wrangling
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
13 assignments
Taught in English
91%
of learners achieved a positive career outcome
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Practical Geospatial Geostatistical Modeling Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 6 modules in this course
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Instructor
Offered by
Explore more from Probability and Statistics
Case Western Reserve University
Case Western Reserve University
Case Western Reserve University
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