Title: Lesson 2: Random Functions and Variogram Modelling
Course: Basic (spatial) statistics > Section: Course Content

This lesson introduces the theory of random functions and the necessary assumption of stationarity. The theory of intrinsic stationarity is also introduced as well as estimation and fitting permissible models to the empirical variogram.

Objectives:

The main objective is to estimate covariances and variograms, fit permissible models, and interpret the parameters of the models

Entrance requirements:

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

Notions to be grasped:

- The participant understand the concept of stationarity
- The participant is evaluate spatial autocorrelation using variograms
- The participant make a choice of appropriate variograms models

Learning activities:

- Study the course material: "EENSAT Spatial statistics using R", review Chapter 3
- Conduct the tasks described in Exercise 2 on "Spatial autocorrelation" and Exercise 3 on "Variograms"

Tasks:

- Conduct the tasks described in the Exercise 2 and  Exercise 3
- Answer the questions that follow in these exercises

Planned time frame:

10 hours