Contents

Overview

The first week of this course will be dedicated to various introductions. We will learn about:

Lesson videos

To ensure the privacy of participating students at online sessions, the videos will not be made publicly available in 2021.

Lesson 1.1 - Course overview and learning objectives

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1.1.png

Lesson 1.2 - Introduction to spatial analysis

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1.2.png

Lesson 1.3.1 - Point pattern analysis - Part 1 (Spatial processes, KDE)

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1.3.1.png

Lesson 1.3.2 - Point pattern analysis - Part 2 (Ripley’s G, F and K function)

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1.3.2.png

Lesson 1.4 - Maps as outcome of processes; Spatial autocorrelation

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1.4.png

Lesson 1.5 - How to use the cloud computing environment?

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1.5.png

Tutorial 1.1 - How to use Git and work with the Exercises?

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1_T1.png

Tutorial 1.2 - Introduction to Python for geospatial analysis

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1_T2.png

Exercise 1 - Overview

Aalto University students can access the video by clicking the image below (requires login):

../../_images/Lesson1_E1.png