The newest version of XmdvTool, a software package for visual
exploration of multivariate datasets, is now available at
http://davis.wpi.edu/xmdv. XmdvTool has been in the public domain since
1994, and has been under continuous development since then. It supports
many popular methods for multivariate data visualization, including
parallel coordinates, scatterplot matrices, star glyphs, dimensional
stacking, and pixel oriented techniques, as well as a powerful set of
interaction tools. New features in version 8 include:
(1)A new software architecture: The new system is based on the information
visualization reference model (or visualization pipeline) developed by Ed
Chi. For more details on our extensions to this pipeline, please see
our paper in VDA10 (available on our website).
(2)New development environment: We have ported XmdvTool to Eclipse using
Qt for the UI to enhance portability. Source code is freely available
for developers.
(3)Multiple views: User can open multiple datasets at once, and observe
each dataset in multiple sub windows with different visualizations. These
windows can be tiled and cascaded.
(4)Color strategy: With a new color strategy dialog, users can assign colors
to datapoints based on data values or different orderings. We support
sequential,
diverging, and qualitative color maps based on Cynthia Brewer's work
(http://colorbrewer2.org)
(5)CSV files support: We enable users to open comma-separated values
(CSV) files directly in XmdvTool, in addition to the XmdvTool native file
format (.okc).
The website contains links to the source code and executables, as well
as documentation, translation tools, datasets, and case studies. The
XmdvTool Project is supported by the National Science Foundation under
grants IIS-9732897, IRIS 97-29878, IIS-0119276, IIS-0414380,
IIS-0812027, and CCF-0811510. Questions can be directed to
xmdv(a)cs.wpi.edu.
Matt Ward
Computer Science Department
Worcester Polytechnic Institute
Preliminary job announcement
The Computer Science Department (Informatik III) of the University of
Bonn, Germany, invites applications for the following position
Researcher (Wissenschaftliche/r Mitarbeiter/in)
- visual and algorithmic analysis of movement and event data –
The position is part of the Knowledge Discovery research group, which
focuses on the subfields of computer science known as knowledge
discovery in databases (KDD, sometimes referred to simply as data
mining) and machine learning (ML). For us, these fields include on the
one hand the automated and visually explorative analysis of large data
sets including intelligent algorithms that are capable of extracting
from the collected data hidden knowledge in order to produce models
that can be used for prediction and decision making. On the other
hand, they also include algorithms and methods that are capable of
learning from experience and adapting to their environment or their
users.
The candidate would specifically elaborate and develop scalable visual
and algorithmic methods for the analysis of spatiotemporal data, which
involve a high complexity of geographical space, time, and
multidimensional non-spatial attributes.
The candidate has completed a Diplom, Master degree, or PhD in
Computer Science, Mathematics or Geoinformatics, and has proven
capabilities in software engineering and mathematical modelling.
Knowledge of Data Mining and Information Visualization is a
prerequisite, knowledge of Geographical Information Systems and
practical handling of spatiotemporal data is an advantage. The
candidate should be fluent in English and have good writing skills.
For non-German speakers gradual learning of the German language is
required.
The position is available for an initial period of 12-15 months.
Anticipated start date is January-April 2011. Salary is according to
EG 13, TV-L. Extension of the position for additional 3 years depends
on the availability of external funding.
The University of Bonn is an equal opportunities employer. Preference
will be given to suitably qualified women or handicapped people, all
other conditions being equal.
Applicants are expected to submit a cover letter, CV, and certificates
of high school and university diploma.
If you are interested in this position, please contact
Professor Dr. Stefan Wrobel and Dr. Gennady Andrienko:
Stefan.Wrobel at iais.fraunhofer.de, http://visual-analytics.info
Gennady.Andrienko at iais.fraunhofer.de, http://geoanalytics.net/and
____________________________________________________________
Fraunhofer Institute IAIS: http://www.iais.fraunhofer.de
ICA GeoVisualization Commission: http://geoanalytics.net/ica
Andrienko's homepage: http://geoanalytics.net/and
____________________________________________________________
Dear colleagues,
Please consider submitting your work to the GeoViz workshop
in Hamburg, 10-11 March 2011:
http://www.geomatik-hamburg.de/geoviz/
The deadline for extended abstracts (2 pages in IEEE 2-column format) is
November 1, 2010. Best submissions will be invited to a special issue of
the Cartographica journal - to be published soon after the workshop
Best regards,
Gennady
____________________________________________________________
Fraunhofer Institute IAIS: http://www.iais.fraunhofer.de
ICA GeoVisualization Commission: http://geoanalytics.net/ica
Andrienko's homepage: http://geoanalytics.net/and
____________________________________________________________
Dear colleagues,
Please consider submitting your work to the GeoViz workshop
in Hamburg, 10-11 March 2011:
http://www.geomatik-hamburg.de/geoviz/
The deadline for extended abstracts (2 pages in IEEE 2-column format) is
November 1, 2010. Best submissions will be invited to a special issue of
the Cartographica journal - to be published soon after the workshop
Best regards,
Gennady
____________________________________________________________
Fraunhofer Institute IAIS: http://www.iais.fraunhofer.de
ICA GeoVisualization Commission: http://geoanalytics.net/ica
Andrienko's homepage: http://geoanalytics.net/and
____________________________________________________________
