1 GRID_CUBE A simple gridding task to make a 2D image from a table
        GRID_CUBE

    This task makes a cube from a table containing data regularly sampled on
    a 2‐d grid, but possibly uncompletely sampled.  Several  gridding  modes
    are possible.

    In  mode  GRID, since the input data is assumed to be regularly sampled,
    this gridding task does not use any convolution  or  interpolation,  but
    just fills a grid with values.

    In mode NATURAL, a convolution kernel is used to interpolate the irregu‐
    larly sampled data using the weight of each individual point.

    In mode UNIFORM, the same convolution process is used but the individual
    points are assumed to have equal weight.

    The  grid  step is specified by the user, but the map size can be deter‐
    mined by the task.  The input table can be created by  command  GRID  in
    CLASS, or using task TABLE from a formatted file.

2 TABLE$
        TASK\CHARACTER "Input TABLE name" TABLE$

    Specify the name of the input table.

2 MAP$
        TASK\CHARACTER "Output MAP name" MAP$

    Specify  the name of the output map. The output map will be in VLM order
    (Velocity, X coordinate, Y coordinate).

2 XCOL$
        TASK\INTEGER "Column of X coordinates" XCOL$

    Specify the column of the table containing the X coordinates

2 YCOL$
        TASK\INTEGER "Column of Y coordinates" YCOL$

    Specify the column of the table containing the Y coordinates

2 WCOL$
        TASK\INTEGER "Column for weights" WCOL$

    Specify the column containing the weights

2 MCOL$
        TASK\INTEGER "First and last column to grid" MCOL$[2]

    Specify the first and last column to be regridded. Note that the  weight
    column can be included in order to produce a weight image.  This can al‐
    low further processing based on Signal‐to‐Noise ratio.

2 WEIGHT_MODE$
        TASK\CHARACTER  "Gridding   Mode   (GRid,   NAtural   or   UNiform)"
    WEIGHT_MODE$

    Indicate  the  weight  mode. GRID indicates the simple gridding (add the
    data point in the corresponding cell), NATURAL indicates a  more  elabo‐
    rate  convolution  with  proper weighting, UNIFORM a convolution without
    weighting.

2 WMIN$
        TASK\REAL "Minimum relative weight" WMIN$

    Minimum (relative) weight for a grid  point  to  be  significant.   Grid
    points with lower weights are blanked.

2 MAP_SIZE$
        TASK\INTEGER "Map dimensions (0 means Guess)" MAP_SIZE$[2]

    Output map size in pixel. Use 0 to leave the program guess.

2 X_AXIS$
        TASK\REAL "X Conversion formula (Ref Val Inc)" X_AXIS$[3]

    Output map conversion formula for X axis.

2 Y_AXIS$
        TASK\REAL "Y Conversion formula (Ref Val Inc)" Y_AXIS$[3]

    Output map conversion formula for X axis.

2 TOLE$
        TASK\REAL "X‐Y position tolerance" TOLE$

    Positional  tolerance.  Points  separated less than TOLE$ (on each axis)
    are added together before resampling. TOLE$ is  essentially  useful  for
    the GRID mode.

2 NPAR$
        TASK\INTEGER "Number of additional parameters" NPAR$

    Number of parameters for the convolution kernel.

2 PARAMS$
        TASK\REAL "Parameters" PARAMS$[’NPAR$’]

    Parameters of the convolution kernel, in pixel units.

1 ENDOFHELP






























