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Case Studies in Geostatistical Modeling

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Case Studies in Geostatistical Modeling

This course is part of Practical Geospatial Geostatistical Modeling Specialization

Instructor: Jeffrey Yarus

Included with

Learn more

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

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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 7 modules in this course

Case Studies in Geostatistical Modeling is the third course in a series of three, designed to teach you the art and science of geostatistical geospatial modeling. In this course, studentspresent their final geostatistical analyses to faculty, demonstrating practical applications and undergoing critique. This course builds on Course One’s foundational principles and Course Two’s structured workflow, emphasizing execution, interpretation, and evaluation.

Students apply geostatistics across five diverse projects: Environmental, Oil and Gas, Photo-Voltaics, Material Sciences, and Mining. This capstone course provides hands-on experience, reinforcing geostatistical adaptability across disciplines. By presenting and defending their work, participants refine their technical communication skills and gain insights into real-world geostatistical applications.

Module details

What's included

9 videos3 readings

9 videosTotal 36 minutes

Introduction: MODIS Satellite Data3 minutes
Introduction: West Texas Data Set3 minutes
Introduction: Photovoltaics, Backsheet Degradation and Data-Driven Modeling4 minutes
Introduction: Modeling of Subsurface Temperatures for the Contiguous United States2 minutes
Introduction: Klovan Data Mining Set4 minutes
Group Introduction1 minute
Geospatio-temporal Modeling (Subsurface Temperature and MODIS Satellite Data)3 minutes
Geospatio-temporal Modeling (Photovoltaics)9 minutes
Geospatio-temporal Modeling (West Texas Data Set and Kolvan Data Mining Set)6 minutes

3 readingsTotal 15 minutes

Course Introduction and Overview 5 minutes
Meet Your Instructors 5 minutes
Additional Resources 5 minutes

What's included

8 videos3 readings1 assignment

8 videosTotal 45 minutes

Data Loading (Soil Nitrogen Data)6 minutes
Data Loading (West Texas Data Set)5 minutes
Data Acquisition and Preprocessing (Photovoltaics)6 minutes
Data Loading: Geospatial Well Data (Subsurface Temperature)3 minutes
Data Loading (Klovan Data Mining Set)2 minutes
Overcoming Hurdles in Data Loading (West Texas Data Set and Kolvan Data Mining Set)9 minutes
Overcoming Hurdles in Data Loading (Photovoltaics)8 minutes
Overcoming Hurdles in Data Loading (Subsurface Temperature, MODIS Satellite Data)8 minutes

3 readingsTotal 125 minutes

Module Introduction5 minutes
Tidy Data 90 minutes
Data Structures for Statistical Computing in Python 30 minutes

1 assignmentTotal 30 minutes

Quiz: Data Loading30 minutes

What's included

10 videos1 reading1 assignment

10 videosTotal 55 minutes

EDA (Soil Nitrogen Data)3 minutes
EDA (West Texas Data Set)3 minutes
Exploratory Data Analysis (Photovoltaics)10 minutes
EDA: Data and Data Integration (Subsurface Temperature)3 minutes
Data Preparation and Normalization (Klovan Data Mining Set)2 minutes
Challenges of EDA with Large Datasets (MODIS Satellite Data)10 minutes
Key Objectives in EDA (West Texas Dataset)3 minutes
EDA Aspects Unique to PV (Photovoltaics)12 minutes
Potential Issues and Errors without EDA (Subsurface Temperature)7 minutes
Benefits and Most Valuable Outcome of EDA (Klovan Data Mining Set)2 minutes

1 readingTotal 5 minutes

Module Introduction5 minutes

1 assignmentTotal 30 minutes

Quiz: EDA30 minutes

What's included

9 videos2 readings1 assignment

9 videosTotal 44 minutes

Spatial Modeling (Soil Nitrogen Data)3 minutes
Spatial Modeling, Interpolation, and Simulation (West Texas Data Set)8 minutes
Spatial Temporal Modeling (Photovoltaics)9 minutes
Spatial Modeling: Geospatial Modeling Parameter (Subsurface Temperature)2 minutes
Spatial Modeling: Grid Setup and Variogram Analysis for Factor Score Mapping (Klovan Data Mining Set)3 minutes
Challenges Integrating Data (Subsurface Temperature, MODIS Satellite Data)5 minutes
Omnidirectional vs Directional Variograms (West Texas Data Set)5 minutes
Maximum and Minimum Directions of Continuity in PV (Photovoltaics)6 minutes
Non-Stationary Variables (Klovan Data Mining Set)5 minutes

2 readingsTotal 45 minutes

Module Introduction5 minutes
Practical Geostatistics- An Armchair Overview for Petroleum Reservoir Engineers40 minutes

1 assignmentTotal 30 minutes

Quiz: Spatial Modeling 30 minutes

What's included

7 videos2 readings1 assignment

7 videosTotal 36 minutes

Interpolation (Soil Nitrogen Data)4 minutes
Geostatistical Modeling (Photovoltaics)8 minutes
Interpolation: Contiguous US Maps (Subsurface Temperature)3 minutes
Interpolation: Mapping Rotated Factor Scores (Klovan Data Mining Set)3 minutes
Comparing Gaussian Process Modeling and Geostatistics (Subsurface Temperature)3 minutes
Quantitative Maps: Kriging vs. Conditional Simulation (Klovan Data Mining Set)6 minutes
Quantitative Maps: Kriging or Conditional Simulation (Photovoltaics)8 minutes

2 readingsTotal 65 minutes

Module Introduction5 minutes
Interpolation and Estimation with Spatially Located Data60 minutes

1 assignmentTotal 30 minutes

Quiz: Interpolation30 minutes

What's included

3 videos2 readings1 assignment

3 videosTotal 22 minutes

Simulation (Soil Nitrogen Data)7 minutes
Simulation: US States Analysis (Subsurface Temperature)3 minutes
Quantitative Maps: Kriging vs. Conditional Simulation (MODIS Satellite Data, West Texas Data Set)12 minutes

2 readingsTotal 45 minutes

Module Introduction5 minutes
Comparing Sequential Gaussian and Turning Bands Algorithms for Cosimulating Grades in Multi-Element Deposits40 minutes

1 assignmentTotal 30 minutes

Quiz: Simulation30 minutes

What's included

10 videos2 readings1 assignment

10 videosTotal 44 minutes

Conclusion (Soil Nitrogen Data)3 minutes
Conclusion (West Texas Data Set)2 minutes
Conclusion (Photovoltaics)3 minutes
Conclusion: Modeling of Subsurface Temperatures for the Contiguous United States2 minutes
Conclusion (Klovan Data Mining Set)1 minute
Quantitative Geospatio-Geotemporal Modeling of the MODIS Satellite Data 11 minutes
Understanding the Space of Uncertainty (West Texas Data Set)8 minutes
Quantitative Geospatio-Geotemporal Modeling in Photovoltaics8 minutes
Quantitative Geospatio-Geotemporal Modeling in Subsurface Temperature3 minutes
Choosing not to use Conditional Simulation (Klovan Data Mining Set)5 minutes