Prof. Dr. h.c. mult. Hasso Plattner

Trends and Concepts in the Software Industry III - Exercise: In-Memory Geospatial Analysis

General Information

  • Teaching staff: Dr. Matthias Uflacker, Keven Richly
  • Location: HPI Campus II, Building D
  • Room: D-E.9/10
  • 4 Semesterwochenstunden (SWS) 6 ECTS (graded)
  • Introductory course: Tue Apr 17, 2018 at 15:15, HPI Campus II, Building D, Room D-E.9/10

Scope of the exercise

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).

Reading Materials


The final grading will consist of the following individual parts: 

  • Implementation and presentation of your application
  • Project documentation