1 GRID_CUBE
        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
    irregularly 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
    determined 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
    allow 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
    elaborate 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 END