High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
We have applied various visualization techniques to assist crime analysis. These techniques include a hierarchical list, a hyperbolic tree, a time line tool, a periodic pattern to...
Hsinchun Chen, Homa Atabakhsh, Tim Petersen, Jenni...
Modern visualization methods are needed to cope with very highdimensional data. Efficient visual analytical techniques are required to extract the information content in these dat...
Georgia Albuquerque, Martin Eisemann, Dirk J. Lehm...
Time-series data is a common target for visual analytics, as they appear in a wide range of application domains. Typical tasks in analyzing time-series data include identifying cy...
The paper is written jointly by two parties, computer scientists specializing in geovisualization and experts in forestry, who cooperated within a joint project. The authors tell ...
Gennady L. Andrienko, Natalia V. Andrienko, Richar...