| On-going Projects |
|
|
 |
Financial Visual Analytics
(Remco Chang, Bill Ribarsky)
In collaboration with Bank of America, we develop tools to visually analyze international wire transactions in order to detect suspicious and fraudulent activities. WireVis employs multiple coordinated views in a highly interactive manner and depicts relationships of different nature between the transactions.
read more...
|
|
|
|
|
|
 |
Probe-based Urban Growth Simulation
(Thomas
Butkiewicz, Zachary
Wartell, Bill Ribarsky)
As part of the RENCI initiative at UNCC,
this project
involves developing a new probe-based application to bring interactivity to CAGIS's urban growth simulation. The simulation's existing results are now able to be analyzed in a exploratory manner, including collaboratively on our multi-touch table. The new interface extends the simulations usefulness for understanding the subtle patterns and factors driving urban growth. It also serves as a effective and engaging presentation tool for the UNCC Urban Institute's outreach efforts to regional policy makers.
read more...
|
|
|
|
 |
LIDAR Change Detection & Analysis
(Thomas
Butkiewicz, Zachary
Wartell, Bill Ribarsky)
By creating error models for LIDAR data we can determine our confidence as to whether a point in a newly acquired scan represents
an actual change in the urban environment. The extracted changes can be transformed into 3D models of construction and earth movement.
Visual analysis can then be used to detect unreported development, tax discrepancies, or to gain an understanding of the growth of a city.
read more...
|
|
|
|
 |
Probe-Based Visual Analysis of Agent Simulations
(Thomas
Butkiewicz, Zachary
Wartell, Bill Ribarsky)
By applying geospatial probes to a variety of map views, the user is able to apply visual analysis and information visualization tools to individual patches, regions, or global regions
of interest. This work is being also being integrated into the above urban change detection project as well as into the Legible Cities census data exploration environment.
read more...
|
|
|
|
|
 |
Stereoscopic Displays and 3D Interaction
(Zach Wartell, Bill Ribarsky)
We are developing a variety of large screen and semi-immersive stereoscopic environments. Our goal is to achieve optimal stereo viewing even under head-tracked conditions for very deep virtual environments where scale can change by several orders of magnitude. Optimal stereo viewing must also be achieved under diverse modes of interaction, especially direct 3D manipulation of objects in the scene.
Read more on Stereoscopic Display and 3D Interaction
|
|
|
|
|
Previous Research Projects
|
|
|
 |
Virtual Geographic Information System (VGIS)
(Zach Wartell, Bill Ribarsky)
VGIS is a large, multifaceted project to allow navigation of and interaction with very large and high resolution, dynamically changing databases while retaining real-time display and interaction. The system allows users to navigate accurate geographies (less than 1 meter resolution in some cases) with sustained frame rates of 15-20 frames per second.
read more...
|
|
|
|
|
 |
Geospatial
Visualization
(Remco Chang,
Thomas Butkiewicz,
Bill Ribarsky)
Rendering or
visualizing large
expansive terrain or
urban models has
been a great
challenge in
computer graphics
and visualization.
In this project, we
are interested in
the issues of
rendering large
geospatial data,
visualizing changes
over time,
highlighting
potential error, and
depicting
relationships
between the data. read
more...
|
|
|
|
 |
Mobile Situational Visualization
(Cynthia Zhang, Zach Wartell, Bill Ribarsky)
In combat zones, it is critical for personnel to share info of risks and follow an optimum path to the destination location. Our research is to explore the effectiveness of a Risk Minimization Path Planning Algorithm (RMPPA) to generate accurate feasible routes with connection to a 3D real-time risks info database on the Virtual Geographic Information System (VGIS). In this project, we apply RMPPA to a Mobile Path Engine (MPE) in VGIS.
read more...
|
|
|
|
|
 |
Genomic Visualization (GVis)
(Dong Hyun Jeong, Bill Ribarsky)
GVis (A Scalable Visualization Framework for Genomic Data) is an interactive environment with which it is possible to quickly explore the phylogeny hierarchy of organisms from the highest level down to the level of an individual organism of interest and also analyze interesting nucleotide sequences by initiating gene-finding and gene-match tools.
read more...
|
|
|
|
| Copyright © 2008 Data Visualization Group. All rights reserved. |
|
|