by
Gustav Taxén(VIC-Sthlm, School of Computer Science and Communication, KTH.)
→
Europe/Stockholm
FA31
FA31
Description
Visualization is the activity of representing data in one or several
modalities (such as images, moving images, sound, tactile feedback,
olfactory feedback, etc.) so that it can be interpreted by a human analyst.
As a research topic, visualization is highly interdisciplinary and
incorporates both theoretical (e.g., how do human beings interpret and
understand a certain way of representing data?) and applied aspects (e.g.,
what type of representation is suitable for a certain data set?).
Most methods of visualization falls into two broad categories: In scientific
visualization, the data set usually suggests a core representation - the
data may have been measured at certain points in 3D space, for example, in
which case it is natural to present the measurements as symbols at the
corresponding locations in a virtual 3D space. Information visualization,
however, deals with data that is abstract (such as stock values) or
non-numerical data (such as the relationships between individuals in a
social network). In such cases, the core representation must be constructed
and is, to some extent, arbitrary.
This seminar discussion will focus on scientific visualization. I will give
an overview of common methods of representing scalar and vector data
measured at points in 3D space and provide some examples of useful software
packages. I will also describe current trends of research in scientific
visualization and outline the state of the art. I will also describe the
VIC-Sthlm visualization knowledge arena, our goals and organization, as well
as mention some of our recent and upcoming activities.