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4th geostatistics course. Interpolation and mapping of kriging / cokriging.

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About Course

4th geostatistics course. Interpolation and mapping of Kriging / cokriging.

Introduction

The Fourth geostatistics course. Interpolation and mapping kriging / cokriging is a continuation of the three previous courses related to geostatistics:

  1. Geostatistics Course for Beginners. Creating algorithms with R for QGIS. Univariate analysis.
  2. Second geostatistics course. Bivariate analysis with R and QGIS.
  3. Third geostatistics course. Structural analysis for kriging / cokriging.

The first course was about how to complete a professional univariate analysis using R integrated in QGIS. In this case, that analysis was executed as a part of the exploratory data analysis. In the second course, we were still working on the exploratory data analysis area, but in this case was for the bivariate analysis; however, in the third course we learned how to complete the structural analysis of the data. In fact, this forth course is going to be the culmination of the courses related to R integrated in QGIS. In order to achieve that, we are going to introduce the scripts for a several types of kriging / cokriging interpolation and how to map and present the results of the geostatiscal studies. Also, we are going to ejecute a full geostatistical analysis for the different types of kriging / cokriging.

In this course we are going to work exclusively with real data, in a real examples. In addition, all the lessons are going to be practical exercises without theory, using R integrated in QGIS.

Course objectives

The goal of this fourth couse is to provide a global view of geostatistical analysis for kriging / cokriging interpolation and how to present the results in a map. To reach this objective we are going to complete a full geostatistical analysis based in the following types of kriging:

  1. Ordinary kriging
  2. Universal kriging
  3. Regression kriging
  4. Kriging with external drift
  5. Ordinary cokriging

Course requisites

It is fundamental to have knowledge related to univariate, bivariate and structural analysis before to take the Fourth geostatistics course. Interpolation and mapping kriging / cokriging.

From GeoRGB Community, we hardly recommend to take the two previous courses before to start the fourth one.

Link for the first course:

https://giscourse.online/courses/geostatistics-course-for-beginners-creating-algorithms-with-r-for-qgis/

Link for the second course:

https://giscourse.online/courses/second-geostatistics-course-bivariate-analysis-with-r-and-qgis/

Link to the third course:

https://giscourse.online/courses/third-geostatistics-course-structural-analysis-for-kriging-cokriging/

Course achievements

Once finished the Fourth geostatistics course. Interpolation and mapping kriging / cokriging you will get an intermediate level of geostatistical analysis based in kriging / cokriging. As a result, you will be ready to apply the things you learned in real projects and present the results in a map using QGIS. Also, you will get knowdlege enough to create new scripts with R to be integrate din QGIS.

Course recommendation

In addition to the requested courses, we recommend to take the following courses / tutorials to have a better understanding on geostatistics. Also, you will gain some experience using QGIS.  With this in mind, consider to follow the links below:

https://giscourse.online/courses/geostatistical-analysis-course-kriging-interpolation-groundwater-flow-map/

https://youtu.be/CaPzOJk4Dd4

https://youtu.be/LaVaGGcgO0w

https://youtu.be/g-i1-pu195g

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What Will You Learn?

  • Learn how to use univariate and bivariate analysis in a real context
  • Learn how to do a structural analysis in a real context
  • Learn how and when to use the different types of Kriging and CoKriging
  • Learn how to mapping the results of geostatistical studies
  • Learn how to integrate R in QGIS
  • Learn map creation and edition professionally using QGIS
  • Learn the basics of the geostatistics
  • Achieve the intermediate level on geostatistics
  • and more ...

Course Content

Lesson 0

  • Introduction to the 4th Geostatistics course
    14:32

Lesson 1

Lesson 2

Lesson 3
This is the third lesson of the 4th geostatistics Course. Kriging and cokriging interpolation and mapping. In this lesson is about regression kriging (RK). We are going to see how to create different deterministic models, focusing on: Ordinary Least Square (OLS) Generalized Least Square (GLS) Generalized Additive models (GAM) Thin-Plate Spline Interpolation (TPS) The goal is to create interpolated trend surfaces with the fitted values associated to the different models, and the ordinary kriging with the residual values. At the end we are going to export all the models to QGIS to get the final Regression Kriging interpolated map.

Lesson 4

Lesson5

Lesson 6

Lesson 7

Student Ratings & Reviews

5.0
Total 3 Ratings
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This course showcases different methods using different data types, which I like very much. Like the other videos this course is very useful and detailed
Excellent course. The topics offer a very complete idea of kriging interpolation and its variations. The scripts work well and the classes were very complete, although a bit long.
MK
2 years ago
BEST COURSE TO UNDERSTAND THE KRIGING. EXPLAINED EVERYTHING VERY CLEARLY.

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