| IDL in Scientific Communication and Visualization [message #81593] |
Tue, 02 October 2012 07:22  |
David Fanning
Messages: 11724
Registered: August 2001
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Senior Member |
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Folks,
I'm giving a talk to some senior executives next week
on how IDL can be used for scientific communication
and visualization. Does anyone have some publicly-
accessible (i.e, Internet) examples of IDL
work they are particularly proud of and/or think might
showcase IDL's role in producing high-quality
science information for the public?
I'd be happy to highlight it and give you a
shout-out in my talk. :-)
Cheers,
David
P.S. Matt, the NSIDC minimum ice image and graphs are
already in my talk!
--
David Fanning, Ph.D.
Fanning Software Consulting, Inc.
Coyote's Guide to IDL Programming: http://www.idlcoyote.com/
Sepore ma de ni thui. ("Perhaps thou speakest truth.")
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| Re: IDL in Scientific Communication and Visualization [message #81629 is a reply to message #81593] |
Fri, 05 October 2012 01:20  |
Alexandra Laeng
Messages: 20
Registered: July 2011
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Junior Member |
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> How about this question?
> What do you think is the
> most useful feature of IDL?
Coyote Library, if I dare to call it feature. :)
On more technical side - the arrays handling is the most useful feature for me. When you work with atmospheric vertical profiles from satellites, you are handling about 1 000 - 700 000 float arrays of length 30-10 per day of data. When you want to do some meaningful statistics on it, like climatology where you are handling several years of data, IDL is way more handy than Matlab. In Matlab, in order to achieve the comparable speed of arrays handling, you have to write Mex functions, while in IDL it is all build-in.
Alex
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