The visual analysis of time dependent data is an essential task in many application fields. However, visualizing large time dependent data collected within a spatial context is st...
Christian Tominski, Petra Schulze-Wollgast, Heidru...
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
In this paper, we present a new recognition system for the fast detection and classification of objects in spatial 3D data. The system consists of two main components: A biologic...
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Chorems are schematized representations of territories, and so they can represent a good visual summary of spatial databases. Indeed for spatial decision-makers, it is more importa...
Vincenzo Del Fatto, Robert Laurini, Karla Lopez, R...