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Course information

General info
Learning goals
Grading
Course environment
Install Python + libraries (optional)
Communicating with Slack
License and terms of usage
Attribution

Exercises

Exercise 1
Exercise 2
Exercise 3
Exercise 4

Final Assignment

Overview (video)
Instructions
Starting your final assignment on Github

Tutorials

Tutorial 0: Meeting Git and Noppe
Tutorial 1: Spatial analysis with Python
Tutorial 2: Spatial accessibility modelling with r5py
Tutorial 3: Spatial Regression in Python
Tutorial 4: Trajectory data mining in Python

Week 1

Overview
Introduction to the course
What is Sustainability?
What is Spatial Data Science?
Recommended readings

Week 2

Overview
Human wellbeing and capabilities
Network analytics and spatial accessibility modelling
Recommended readings

Week 3

Overview
Economic inequalities and growth
Spatial econometrics
Recommended readings

Week 4

Overview
Sustainable Cities and Mobilities
Mobility analytics
Agent-based simulation with spatial data
Recommended readings

Repository
Suggest edit

.rst

Exercise

Exercise#

Note

We won’t have Exercise for this week.

By Henrikki Tenkanen

© Copyright 2026, Henrikki Tenkanen, Dept. of Built Environment, Aalto University.