hyper-tubes consisting of hyper-cubes of n-dimensions were designed and formulas for substructures of vary dimensions established.

Department of Geoinformatics is concentrated on the elements, measurement, modelling, propagation, and cartographic portrayal of geospatial data. To find out best cartographic representations or maps of these geospatial data, we decide to use evaluation with eye-tracking system. The poster describes visualization method of Space-Time-Cube for analysing the large amount of eye-tracking data. In ...

Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...

Space–time cube is often used as a visualization technique representing trajectories of moving objects in (geographic) space and time by three display dimensions (Hägerstrand 1970). Despite the recent advances allowing space–time cube visualization of clusters of trajectories, it is problematic to represent trajectory attributes. We propose a new time transformation—sequential ordering—that tra...

Analysts often explore data cubes to identify anomalous regions that may represent problem areas or new opportunities. Discovery-driven exploration (proposed by S.Sarawagi et al. [5]) automatically detects and marks the exceptions for the user and reduces the reliance on manual discovery. However, when the data is large, it is hard to materialize the whole cube due to the limitation of both spa...

Analyzing large amounts of complex movement data requires appropriate visual and analytical methods. This paper proposes a 2-D staricon based visualization technique for the visual exploration of multivariate movement events in a space-time cube. To test the proposed method, we derive multivariate events from massive real-world floating car data and visually explore spatio-temporal patterns. Th...