GRID_CUBE
Keywords: greg

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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.