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Course information
Introduction to the course
General info
Learning goals
Grading
Course environment
Communicating with Slack
License and terms of usage
Attribution
Week 1
Lesson overview
What is Sustainability?
What is Spatial Data Science?
Tutorial 1.1 - Meet Git
Tutorial 1.2 - Spatial analysis with Python
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. Accessibility analysis: Calculating travel time matrices in Python
Recommended readings
Exercise 2
Week 3
Lesson overview
Sustainable Cities and Mobilities
Mobility analytics
Tutorial 3 - Trajectory data mining in Python
Recommended readings
Exercise 3
Week 4
Lesson overview
Economic inequalities and growth
Spatial econometrics
Tutorial 4 - Spatial Regression in Python
Recommended readings
Exercise 4
Week 5
Lesson overview
Agent-based simulation with spatial data
SDS in Water resource management
Flood forecasting
Recommended readings
Final Assignment
Instructions
Repository
Suggest edit
.rst
.pdf
Sustainable Cities and Mobilities
Sustainable Cities and Mobilities
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