Title: Lesson 1: Linear Regression, Spatial and Deterministic Interpolation
Course: Basic (spatial) statistics > Section: Course Content

This lesson introduces students to the concepts of linear regression through least squares and their extensions for interpolating spatial data.

Objectives:

The main objective is to provide students with both theoretical and practical experience to fit linear regression models in R, and extend this concept for modelling and predicting spatial data. The ultimate objectives of this lesson are:

- To understand the concept of linear regression and how to perform linear regression analysis using R
- To understand the concept of extending regression for spatial data and preform deterministic spatial interpolations
- To exercise and experience the deterministic spatial interpolation

Entrance requirements:

Preferably have acquired knowledge of in the field of RS and GIS and basic statistics

Furthermore the course requires the following background from the participants:

- Working knowledge of English;
- Ability to use excel for spreadsheet computations;
- Proficiency using computers and ability to install software tools used during the course;
- Online access and familiar to use the EENSAT Education portal, upload of assignments;

Notions to be grasped:

- The participant is knowledgeable on the concepts of linear regression modeling
- The participant is able to perform linear regression using R
- The participant knows to apply and extend linear regression to spatial data interpolation in R

Learning activities:

Suggested sequence of studies:

- Study the course material handout: "EENSAT Spatial statistics using R"; Chapters 1 and 2
- Conduct the tasks described in the Chapters 1 and 2 and Exercise 1A: "Introduction to R";
- To gain extensive understanding, conduct the tasks described in Exercise 1B: "Regression"

Tasks:

- Conduct the tasks described in the document "Introductory Spatial Statistics Using R" for Chapters 1 and 2
- Conduct the tasks as described in Exercise 1A and Exercise 1B

Planned time frame for this lesson:

10 hours