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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
Week 1
Introduction to the course
Lesson overview
What is Sustainability?
What is Spatial Data Science?
Tutorial 1 - Spatial analysis with Python
Tutorial 1.1 - Meet Git
Recommended readings
Exercise 1
Week 2
Lesson overview
Human wellbeing and capabilities
Network analytics and spatial accessibility modelling
Tutorial 2.1 - Shortest path analysis
Tutorial 2.2: Spatial accessibility modelling with
r5py
Recommended readings
Exercise 2
Week 3
Lesson overview
Economic inequalities and growth
Spatial econometrics
Tutorial 3 - Spatial Regression in Python
Recommended readings
Exercise 3
Week 4
Lesson overview
Natural disaster management with user-generated data
Week 5
Lesson overview
Sustainable Cities and Mobilities
Mobility analytics
Agent-based simulation with spatial data
Tutorial 4: Trajectory data mining in Python
Recommended readings
Exercise 4
Final Assignment
Overview (video)
Instructions
Starting your final assignment on Github
Repository
Suggest edit
.rst
.pdf
Sustainable Cities and Mobilities
Sustainable Cities and Mobilities
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