1. Advanced Scientific
Visualization
Guilford County SciVis
V202.04

2. What is Advanced SciVis?
Scientific visualization, sometimes referred
to in shorthand as SciVis, is the
representation of data graphically and/or
visually as a means of gaining
understanding and insight into the data.
SciVis allows the researcher to gain insight
in ways previously impossible.

3. Examples of SciVis
 Engineering
 Simulations
 Medical Imaging
 Meteorology
 Hydrology
 Finance

4. Types of SciVis
 Color coding
 Surface rendering
 Volume rendering
 Image analysis
 Vector and Scalar data
analysis
 Parallel projections

5. What is Informational Visualization?
 Informational
visualization is the use
of interactive graphical
interfaces to display,
measure, and
understand large
amounts of data.
 Information
visualization combines
the aspects of graphics,
human-computer
interaction, and human-
information interaction.

6. Examples of informational Vis.
 Molecular models
 CAD models
 Medical imagery
 2D MAP GIS
 Dynamic queries
(search capabilities)

7. Informational Vis. Data Types
 Linear -- (one dimensional), usually sequential
lists. A typical Internet search result would be
an example. This is the least complex type of
visualization.
 Temporal -- data uses time as the one
dimension (i.e. timelines, animations, project
timelines, and video representations).

8. Informational Vis. Data Types
 Two dimensional -- (not to
be confused with 2D
representations) data is
associated with geographic
information systems, such
as a map.
 Three dimensional -- is
usually real world data,
and is concerned with
position and orientation.
Virtual reality is an
example.

9. Organizing Informational Vis.
 Tree or hierarchical -- data
has a unique parent and 1
or more siblings. Examples
include classification
systems, and parent child
relationships.
 Task Gallery – a way that
employs 3D space to
organize data. The space is
that of multiple rooms in
which documents are ‘hung’
on walls until they are
needed.

10. Organizing Informational Vis.
 Storytelling –
storytelling is deeply
rooted in human
history, and
technology can allow
for effective
storytelling. With the
advent of multimedia,
animation, rich text,
and the Internet,
many researchers
believe that
storytelling can aid in
the visual
presentation of
information.

11. Organizing Informational Vis.
 Visual Data “Mining” -- is like an
automatic changing data system.
Example is a working mode of the
stock market that changed
continually as priced rise and fall.
 SPIRE is a way to organize data in
a spatial pattern. Data fits the
way the human mind works.

12. Different Examples of SPIRE
 Galaxy Visualization -- the
image of stars in the night
sky to represent a set of
documents.
 Theme View -- the topics
or themes within a set of
documents are shown as a
relief map of natural
terrain. The mountains in
the Theme View indicate
dominant themes. The
height of the peaks
indicates the relative
strengths of the topics in
the document set.

13. Different Examples of SPIRE
 Theme River -- helps users
identify time-related
patterns, trends, and
relationships across a large
collection of documents.
The themes in the
collection are represented
by a "river" that flows left
to right through time.
 Fractal Projections --
Information is organized
and viewed as fractal
spaces.

14. Different Examples of SPIRE
Catch -- Computer
Aided Tracking and
Characterization of
Homicides is a
collection of tools that
assist the crime analyst
in the investigation
process.

15. The End