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Data Analysis and Science Support Software
The Data Analysis and Science Support Software Section in the Space
Science and Engineering Division provides end-to-end data management and data
analysis solutions for supporting scientists and engineers in all mission
phases. Data management includes all stages of ingesting, processing,
formatting, distributing, archiving, retrieving, and mining data in automated
and interactive fashions. Data analysis includes numerical computation, data
fusion techniques, and visualization in a variety of 2-D and 3-D views.
The staff relies on more than 25 years of problem
solving and systems design experience to produce quality solutions using
appropriate software technologies. Section experience includes a wide range of
areas across the entire span of computer science and engineering. The team
creates software and systems for clients by applying design methodologies, rapid
prototyping, and knowledge of a broad spectrum of standards. A computer
laboratory provides clients with an adaptable development and testing
environment for almost any software production need. The section routinely deals
with issues involving cross platform development (UNIX, Linux, Windows,
Macintosh), multiple programming languages (C/C++, FORTRAN, Tcl/Tk, Perl, PHP,
Java, Lua, Python), open source tools (VTK-Visualization ToolKit, Qt/Qwt, MySQL,
SQLite, PostGRES, SPICE), proprietary tools (IDL, MATLAB, Mathematica®,
STK-Satellite ToolKit, SIMION®), visualization (2D/3D), data
compression/representation, and data fusion and mining applications both on and
off the web.
Sandee
J. Jeffers, Principal Analyst/Acting
Manager
Technical strengths and contacts include:
Related Links
Space Science Department
Space Science and Engineering
SwRI Technical Divisions
SwRI Home
January 24, 2012
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