Geovisualization applications typically organize data into layers. These layers hold different
types of geographical features, describe different characteristics of the same features, or …

Visualization of the trajectories of moving objects leads to dense and cluttered images,
which hinders exploration and understanding. It also hinders adding additional visual …

Graph visualization is an important field in information visualization that is centered on the
graphical display of graph-structured data. Yet real world data is rarely just graph-structured …

Although there has been a great deal of interest in analyzing customer opinions and
breaking news in microblogs, progress has been hampered by the lack of an effective …

Analyzing multiple networks at once is a common yet difficult task in many domains. Using
adjacency matrices for this purpose, however, can be effective because of its superior ability …

The current proliferation of large displays and mobile devices presents a number of exciting
opportunities for visual analytics and information visualization. The display ecology enables …

Clustering is often a first step when trying to make sense of a large data set. A wide family of
cluster analysis algorithms, namely hierarchical clustering algorithms, does not provide a …

Telemetry opens new possibilities for the assessment of serious games through the
continuous, unobtrusive, monitoring of in-game behavior. Data obtained through telemetry …

Abstract 3D visualization is being widely used in GIS (geographic information system) and
CAD (computer-aided design) applications. It has also been introduced in cadastre studies …

Generating the “right” visual representation for the data and task at hand remains a standing
challenge in visualization research and practice. A variety of different approaches to …