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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 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.


Gildas manager 2020-09-28