| visualizing data in 3-D [message #26154] |
Tue, 07 August 2001 10:56  |
patrick
Messages: 15
Registered: July 2001
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Junior Member |
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Folks-
I'm attempting to construct a 3-D visualization of oceanographic data.
My data is in columnar ascii format. I need to interpolate
corresponding data values at three different locations. For example, I
have a density value of 21.9 kg/m^3 measured at three different
locations and I want to visualize a density stratification surface
interpolated between the three locations where the horizontal axes are
space between the locations and the vertical axes are depth. What I
have currently for the procedure is below. It is currently just a
mangled set of lines which obviously won't work. the *pstate variables
correspond to 3 different data sets in a pointer array stacked on top
of each other. So x1 is a depth column, and y1 is a density column, x2
& y2 are depth and density columns from a second location, ditto with
x3/y3 at a third location. Could xplot3d or slicer3 work for this? Or
should I use a combination of surfr and t3d as opposed to the current
code?
x1 = reform((*pstate).profiledata(0,*,0))
y1 = reform((*pstate).profiledata(1,*,0))
x2 = reform((*pstate).profiledata(0,*,1))
y2 = reform((*pstate).profiledata(1,*,1))
x3 = reform((*pstate).profiledata(0,*,2))
y3 = reform((*pstate).profiledata(1,*,2))
print, 'working'
; interpolate 1st data onto 2nd data alt grid
y01 = interpol(y1, x1, x2)
; interpolate 3rd data onto 2nd data alt grid
y03 = interpol(y3, x3, x2)
; concatenate arrays
y = [transpose(y01), transpose(y2), transpose(y03)]
x = [0,1,2]
contour, y, x, x2
Thanks for any suggestions,
Patrick
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