Movement data link together space, time, and objects positioned in space and time. They
hold valuable and multifaceted information about moving objects, properties of space and
time as well as events and processes occurring in space and time. We present a conceptual
framework that describes in a systematic and comprehensive way the possible types of
information that can be extracted from movement data and on this basis defines the
respective types of analytical tasks. Tasks are distinguished according to the type of …