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📢 Exercises 1-4 are out + Week 1-5 videos now available (under 'Overview'). 📢
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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
  • Agent-based simulation with spatial data
  • Sustainable Cities and Mobilities
  • Mobility analytics
  • Recommended readings

Week 5

  • Overview
  • Mapping Cultural Ecosystem Services
  • Repository
  • Suggest edit
  • .rst

Spatial econometrics

Spatial econometrics#

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Economic inequalities and growth

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Recommended readings

By Henrikki Tenkanen

© Copyright 2025, Henrikki Tenkanen, Dept. of Built Environment, Aalto University.