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Description:
This routine accepts an array consisting of a series of (vectorised) lines of data
and their co-ordinates. For each pixel the subroutine forms the weighted dispersion of the
co-ordinate along a line of data. The weights are the data values. The output co-ordinate
dispersions are returned in the array RESULT.
Invocation
CALL CCG_IWD3x( NPIX, NLINES,
STACK, COORDS, MINPIX, RESULT, RESVAR, NCON, NBAD, STATUS )
Arguments
NPIX =
INTEGER (Given)
The number of pixels in a line of data.
NLINES = INTEGER (Given)
The number of lines of data in the stack.
STACK( NPIX, NLINES ) = ? (Given)
The
array of lines which are to be combined into a single line.
COORDS( NPIX, NLINES ) = ?
(Given)
The world co-ordinates.
MINPIX = INTEGER (Given)
The minimum number of
pixels required to contribute to an output pixel.
RESULT( NPIX ) = ? (Returned)
The
output line of data.
NCON( NLINES ) = DOUBLE PRECISION (Returned)
The actual
number of contributing pixels from each input line to the output line.
NBAD = INTEGER
(Returned)
The number of bad values in the output RESULT array created while forming the
statistics. It excludes those bad values whose corresponding values along the collapse axis
are all bad.
STATUS = INTEGER (Given and Returned)
The global status.
Notes:
-
There is a routine for each numeric data type: replace " x" in the routine name by D or R as
appropriate. The STACK, COORDS, and RESULT arguments supplied to the routine must have the
data type specified.
-
It uses the corrected two-pass algorithm of Chan, T.F., Golub, G.H., & LeVeque, R.J. (1983). "
Algorithms for computing the sample variance: Analysis and recommendations" , American
Statistician, 37(3), 242–247.
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