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):

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Lesson 1.2 - Introduction to spatial analysis

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

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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):

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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):

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Lesson 1.4 - Maps as outcome of processes; Spatial autocorrelation

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

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Lesson 1.5 - How to use the cloud computing environment?

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

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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):

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Tutorial 1.2 - Introduction to Python for geospatial analysis

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

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Exercise 1 - Overview

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

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