We present a model for building, visualizing, and interacting with multiscale representations
of information visualization techniques using hierarchical aggregation. The motivation for …

In this paper, we present a systematization of techniques that use quality metrics to help in
the visual exploration of meaningful patterns in high-dimensional data. In a number of recent …

Consider real-time exploration of large multidimensional spatiotemporal datasets with
billions of entries, each defined by a location, a time, and other attributes. Are certain …

Movement data (trajectories of moving agents) are hard to visualize: numerous intersections
and overlapping between trajectories make the display heavily cluttered and illegible. It is …

In visualization, we use the terms data, information and knowledge extensively, often in an
interrelated context. In many cases, they indicate different levels of abstraction …

Traditional scatterplots fail to scale as the complexity and amount of data increases. In
response, there exist many design options that modify or expand the traditional scatterplot …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

Multivariate data sets including hundreds of variables are increasingly common in many
application areas. Most multivariate visualization techniques are unable to display such data …

The field of Information Visualization, being related to many other diverse disciplines (for
example, engineering, graphics, statistical modeling) suffers from not being based on a clear …

We present a study aimed at understanding how human observers judge scatter plot
similarity when presented with a large set of iconic scatter plot representations. The work we …