General information

Learning outcomes:

After completing the course you are able to:

1. Plan a geographic information project with a team and implement it,
2. Find human mobility data that are needed for the project,
3. Use QGIS program to analyze and manipulate spatial data,
4. Find out different data analyzing techniques that support the project,
5. Understand the power of visualizing your findings,
6. Use QGIS findings to make a decision where non motorized traffic streets should be constructed.

Lecturer:

Rene Maas, TTK

rene.maas@tktk.ee

Human mobility is something that refers to ability to move. To make more clear decisions on transport infrastructure we should understand the human mobility needs. It is not always like that- politics and decision makers are biased by a number of different things. To make better decisions we should rely on the data, not someone's opinion.

Where people potentially gonna move, it means what are their mobility needs- that you gonna learn on this course. This data is somewhere and good if it's free and up to date. So we find data sets that support our decision making. where should non motorized traffic streets be constructed. This data should be analyzed somehow, in this course we use the QGIS program for that.

This course's goal is to understand mobility needs through data analysis and processing.