In this exercise you will earn hands-on experience on how to implement state-of-the art analytical applications on large geospatial datasets. Goals of this exercise are:
- to get acquainted with data structures, models and large collections of spatiotemporal information about moving objects
- to learn and apply data mining operations on trajectory data and to build an interactive application that allows to derive new insights
- to evaluate tools and concepts for data visualization
One particular aspect of the exercise is concerned with the processing of trajectories. We want to evaluate and optimize different strategies for, e.g.,
- calculating distances between trajectories
- identifying characteristical trajectories
- implementing trajectory operators in an in-memory database
Participants will implement and evaluate their work using different spatiotemporal datasets (will be provided).
