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IDL and 3D scattered data
- Subject: IDL and 3D scattered data
- From: "Todd Bowers" <tbowers(at)nrlssc.navy.mil>
- Date: Fri, 28 May 1999 18:46:27 -0500
- Newsgroups: comp.lang.idl-pvwave
- Organization: Naval Research Laboratory, Washington, DC
- Xref: news.doit.wisc.edu comp.lang.idl-pvwave:14968
Uh oh...
I thought that IDL could help me out with 3D
oceanographic data visualization. Turns out it
just ain't so. There doesn't seem to be a way to
interpolate scattered 3D data in IDL. Anybody know
of a routine(s) that'll do what triangulate/trigrid
or sph_scat will do but in 3 spacial dimensions? BTW,
when I say 3D scattered data, I mean *real* 3D
scattered data. That means 3 independant variables
and 1 dependant variable, as in x,y,z,f(xyz). E.g., I have
data in the form:
Longitude Latitude Depth Temperature
-84.3333 22.6105 0.0 24.2
-84.3333 22.6105 2.7 24.0
-84.3333 22.6105 5.0 23.2
-84.3104 22.6384 0.2 24.2
-84.3104 22.6384 2.2 23.2
-84.3104 22.6384 4.8 23.1
-84.2999 22.6480 0.1 25.1
etc,
etc.
For some reason alot of scientists and scientific packages
refer to 2D plots that are rotated into 3D space
as 3D stuff (surface, shade_surf, and David Fanning's
example of using PlotS,...,/T3D in his book are good
examples. Great book, BTW!). It may be a nit pick, but
certainly no one would view a graph of f(x)=x as a 2
dimensional graph.
Sooo... any thoughts on my rantings? Any pointers to
some 3D interpolation stuff?
Thanks,
Todd
--
Todd Bowers
PSI-MSAAP Bldg. 9121
Stennis Space Center, MS
tbowers@nrlssc.navy.mil