Projects
The project aims to use your spatial data analytic skills to explore a dataset, discover mobility patterns in data, and critically analyze available approaches.
Important dates:
- Team formation (team size is 1 - 3 students) until 28 February
- Intermediate presentations - 31 March
- Final presentations - 19 May
- Final report submission - 26 May
Possible topics:
- Use Kaggle or other available datasets and define your research question. Some ideas for inspiration:
- Analyzing the accessibility of public transport
- Comparing mobility patterns in different cities
- Labelling trips (based on PoI, Time, Age, Gender, ...)
- Select a high-quality scientific publication (in Nature, Science, etc.) with a public dataset and explore alternative approaches to the same research question.
List of available datasets:
- NYC Citi Bikes
- Micromobility in the U.S.
- Capital Bikes in Washington DC
- Helsinki Bike Share
- Tartu Smart Bike (ask Helen for data)
- Home and work locations in Tartu (100x100m grid) (ask Helen for data)
- ...and many other publicly available datasets you can find online by yourself!
Outcome:
- Intermediate presentation - 10%
- Final presentation - 40%
- Final report (6 pages) - 50%
You must be logged in and registered to the course in order to submit solutions.