Title: Lesson 3: Stochastic Spatial Interpolation
Course: Basic (spatial) statistics > Section: Course Content

This lesson presents spatial interpolation methods that considers uncertainties through variance estimations. The specifically dwell on simple and ordinary kriging. The lesson further extends the concept of simple kriging to ordinary through the estimation of the spatial mean.

Objectives:

The main objective is to is to understand the theory and concept of simple and ordinary kriging, and implement them using the R statistical software.

Entrance requirements:

Followed the previous lesson of this course and conducted the exercises.

Notions to be grasped:

- The participant is able extend the concept of variogram modelling in spatial interpolation
- The participant is able to implement simple and ordinary kriging interpolations in R

Learning activities:

- Study the course material "EENSAT Spatial statistics using R"; Chapter 4
- Conduct the tasks described in Exercise 4 on "Ordinary kriging"

Tasks:

- Conduct the tasks described in  Exercise 4 "Ordinary kriging"
- Answer the questions that follow in these exercises

Planned time frame for this lesson:

10 hours