SOFTWARE
IBM has
re-released their
Visualization Data Explorer as
the
Open Source Data Explorer or OpenDX.
As you might guess from the name, it is now
available under
Open
Source licensing terms.
OpenDX is based on the last commercial release
of Data Explorer (version 3.1.4B), with the
license manager removed and the code reworked
to reflect an Open Source development framework.
OpenDX is a visualization framework for applying
advanced visualization and data analysis
techniques to data. It provides a full set of
tools for manipulating, transforming, processing, realizing, rendering and animating
data using methods based on points, lines, areas, volumes, images or combinations of geometric primitives. The interfaces include
Motif widgets, visual programming, script language programming, and an API.
An extended data-flow-driven client-server
execution model is used wherein the client
process is the GUI and resides on a single
workstation. The server process does all the
number crunching and can reside on the same
workstation, another one, or on some combination of a cluster of machines with or
without SMP.
The available realization techniques for generating renderable geometry from data include color and opacity mapping, contours and
isosurfaces, histograms, 2- and 3-D plotting and
surface deformation for scalar data, as well as
arrow plots, streamlines and streaklines for
vector data.
Also supported are data probling, arbitrary
surface and volume sampling, and arbitrary
cutting and mapping of planes.
A myriad of non-graphical operations are also
supported including arbitrary mathematical
expressions, univariate statistics, image processing functions, and field and vector
operations.
The available data manipulation tools include
those for point removal, subsetting by positions, sub- and super-sampling, grid
construction, mapping, interpolation, regridding, sorting, etc.
This is one of the best tools I've found for
exploring the field of
scientific visualization,
which strives to find ways to make huge, multi-dimensional data sets reveal their patterns and other secrets.
Having spent more than few hours trying to
understand 2- and 3-D output fields from
atmospheric and oceanic circulation models,
I'll have to agree with those who say data
visualization is as much an art as a science.
Many online tutorials and courses are
available including:
posted by Steven Baum
10/20/1999 07:33:01 PM |
link