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dsgrid2

Interpolates data from an unstructured (randomly-spaced) grid to a rectilinear grid using inverse distance weighted interpolation.

Prototype

	function dsgrid2 (
		x  [*] : numeric,  
		y  [*] : numeric,  
		z      : numeric,  
		xo [*] : numeric,  
		yo [*] : numeric   
	)

	return_val [dimsizes(x) * dimsizes(y)] :  float or double

Arguments

x

A 1D array of length npts containing the X coordinates of the unstructured input data.

y

A 1D array of length npts containing the Y coordinates of the unstructured input data.

z

An array of any dimensionality (last dimension must be npts) containing the functional values of the input data. Element z(...,i) is the value of the input function at coordinate (x(i), y(i)) for i = 0, npts - 1).

xo

A 1D array of any length (numxout) containing the X coordinates of the output rectilinear grid. The values in xo must be increasing, but need not be equally spaced.

yo

A 1D array of any length (numyout) containing the Y coordinates of the output rectilinear grid. The values in yo must be increasing, but need not be equally spaced.

Return value

Returns a floating point array dimensioned as N x numxout x numyout, where N represents all but the last dimension of z. The return value type is double if z is of type double.

Description

This function performs interpolation from data on an unstructured grid to data on a rectilinear grid.

This function requires that desired values for control parameters have been set using the procedure dssetp.

This function is part of the Dsgrid package which implements a simple inverse distance weighted interpolation algorithm. No missing values are allowed.

See Also

dsgrid3, dspnt2, dspnt3, dsgetp, dssetp

Examples

Example 1

begin

  NUM = 6
  NX  = 61
  NY  = 61

  xi = (/0.00, 1.00, 0.00, 1.00, 0.40, 0.75/)
  yi = (/0.00, 0.00, 1.00, 1.00, 0.20, 0.65/)
  zi = (/0.00, 0.00, 0.00, 0.00, 1.25, 0.80/)
  xeye =  3.3
  yeye = -3.3
  zeye =  3.3

  xo = new((/NX/), float)
  yo = new((/NY/), float)

;
; Create the output grid.
;
  xinc = 1.0 / (NX - 1) 
  yinc = 1.0 / (NY - 1) 
  ii = fspan(0.0, 60.0, NX)
  xo = xinc * ii
  yo = yinc * ii
;
; Exponent equals 0.5
;
  dssetp("exp", 0.5)
  zo = dsgrid2(xi, yi, zi, xo, yo)
end