Geostatistics
Course specifications
Duration: 4 hours
Number of sessions: 2 sessions (two hours per session)
Class Schedule: Saturday & Sunday
How to participate in the class: Classes will be held online.
Course tuition: The course fee is 150 USD. There is no charge for pre-registration. The course tuition is charged upon final registration.
Programming language: MATLAB programming language is used in this course.
Instructor: Dr. Mahdi Shadabfar
Programming language: MATLAB programming language is used in this course.
Instructor: Dr. Mahdi Shadabfar
If you have any queries regarding this course, please visit our "Contact Us" page.
When the variable governing the problem under study has spatial variations, the desired properties of the variable change by moving away from a point. In other words, points close to one another are more similar, and points distant from one another behave relatively independently. This spatial correlation has led to the development of a science known as geostatistics, which, of course, is not limited to the earth sciences and covers any discipline in which spatial variability is a concern.
This training course is prepared in two sessions. In the first session, a problem with spatial variables is described. Then the spatial data of the example is presented and imported into the MATLAB environment. In the following, the distance matrix and the lag distance criterion are introduced and their calculations are explained step-by-step. The concept of cloud variogram is then introduced and implemented in the MATLAB environment. In addition, various types of variogram estimators, including spherical, exponential, and linear models, are described and calculated. In the second session, the Kriging method is discussed as one of the most well-known methods in spatial statistics. For this purpose, first the required subject theories, such as weighted average of neighborhood points and Lagrange optimization, are explained, and then the formulation of the Kriging method is explained. The matrix form of the equations is then extracted and implemented as an example in the MATLAB environment. Moreover, the Kriging interpolation error is explored using the variance criterion and is plotted as an error contour alongside the Kriging prediction.
This course is beneficial for all students and researchers who work with spatial statistical models and explains the fundamentals of the required programming techniques and procedures in a straightforward way.
Course description
Course content
Session 1: Variography
1.1. Importing the data to MATLAB2.1. Calculating the distance matrix3.1. Determining the lag distance4.1. Experimental variogram calculation5.1. Cloud variogram6.1. Development of the variogram estimator
1.6.1. Spherical model
2.6.1. Exponential model
3.6.1. Linear model
1.6.1. Spherical model
2.6.1. Exponential model
3.6.1. Linear model
Session 2: Kriging method
1.2. Weighted average method of neighborhood points
2.2. Expected error
3.2. Kriging variance
4.2. Lagrange optimization
5.2. Kriging interpolation
6.2. Development the matrix form of equations
7.2. Modeling in MATLAB
8.2. Assessing the accuracy of interpolation with variance contour
Pre-registration deadline
Pre-registration is currently available, and you can access the pre-registration link at the bottom of this page.
Pre-registration
By enrolling in this course, you will not only gain familiarity with essential tools in geostatistical modeling, including variography and kriging, but also acquire the necessary skills to conduct research in this field. Pre-registration for this course is now open. To enroll, please register your details using the following link. Once the class has met the required number of participants, you will receive an email notification to pay the tuition fee and complete your registration. The date, time, and link for attending the lessons, along with other important details, will be communicated to you via email.
Pre-registration
(FAQ) Frequently Asked Questions
What is the cost of the course and how can it be paid?
The tuition fee for this course is 150 USD. Upon pre-registration, the course administrator will email you and provide a deposit slip for payment. You have the option to pay the course fee through bank e-transfer or PayPal.
As a student, the tuition fee for this course is quite high for me. Is it possible to pay in multiple installments?
Certainly! We welcome students to join our courses and embark on the path to becoming professional researchers even during their student years. If you are unable to pay the full tuition upfront, you may request to pay in two or three installments.
If the class schedule doesn’t align with my availability, how can I ensure I don’t miss out on the class?
All classes are recorded, and the video recordings of each week’s classes will be shared with all course participants early next week. This way, even if you are unable to attend the live session online, you can catch up by watching the class video. However, we do recommend attending the class online.
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