The limits of the area to be gridded.

Xmin, Ymin

The ground coordinates of the first grid point at the bottom left corner of the rectangular grid area. (Default, the minimum limits of the input data file are used).

Xmax, Ymax

 The ground coordinates of the last grid point at the top right corner of the rectangular grid area. (Default, the maximum limits of the input data file are used).

Script Parameter: BIGRID.XYRANGE

Maximum line separation in data units.

Maximum Line Separation is the maximum separation distance allowed between lines. Areas enclosed by lines that are farther apart than this distance are represented by dummy values in the output grid. By default, the maximum separation is set to 1.5 times the average line separation. If the line to line separation maximum is too narrow, the output grid will consist of data strips that frame each survey lines, with blank grid areas in between. The width of the data strips will depend on the number of cells that extend beyond the edges of the data in line 2 of the control file.

Script Parameter: BIGRID.SMX

Maximum point separation in data units.

The Maximum Point Separation is the maximum separation distance allowed between stations on a line. Gaps in lines wider than the station to station maximum are not interpolated. The default is to use the maximum line to line separation value.

If the entered value is smaller than the output cell size, then internally it is increased to be equal to the output cell size. 24-Feb-06

Script Parameter: BIGRID.GAPLIM

The number of cells to extend beyond the edges of the data. By default, the number of cells is set to 1 when gridding data, which ensures that the grid will always extend at least a fraction of a cell past the ends of valid data. When re-gridding grids, the number of cells is set to 0 by default to prevent growth of the grid. Setting the number of cells beyond the edges of the data to 2 or 3 and the maximum separation permitted between lines to the grid cell size will produce a strip grid. A strip grid will only have valid data in strips that frame the survey lines. This is an effective presentation when lines are too far apart to be gridded properly.

Script Parameter: BIGRID.NEX

Select the down-line spline method, "Cubic", "Akima", "Linear" and "Nearest neighbor" (default Akima).

For data that is sampled at a high density relative to the grid cell size, such as is often the case for airborne data, linear interpolation is usually sufficient for the down-line spline and will produce some saving in computation time.

Script Parameter: BIGRID.ISP1

Select the across-line spline method, "Cubic", "Akima", "Linear" and "Nearest neighbor" (default Akima).

In cases where the data contains rapid changes in gradient, the minimum curvature (cubic) spline may produce undesirable highs or lows in the final grid. This most commonly occurs across lines with poor line-to-line correlation of the data. The Akima spline method does not suffer as much from this problem, although it does tend to produce sharper corners around actual data points and the resulting grid tends to be less smooth.

Script Parameter: BIGRID.ISP2

Specify the Low-pass filter wavelength.

To apply a low-pass filter, specify only the short wavelength cut-off. The low-pass cut-off is specified in the same distance units as the data file.

Script Parameter: BIGRID.WS

Specify the High-pass filter wavelength.

To apply a high-pass filter, specify only the long wavelength cut-off. The high-pass cut-off is specified in the same distance units as the data file.

Script Parameter: BIGRID.WL

Specify the tolerance in "Z" units (eg. gammas) for the non-linear filter.

Non-linear filtering uses logic to determine if a given data point is part of the short wavelength information to be removed or not. The decision is based first on wavelength, then on an amplitude tolerance. If, based on wavelength, a data point is considered part of the short wavelength information. It’s amplitude, relative to a local background is compared to the non-linear filter tolerance. If it exceeds this tolerance it is removed from processing and replaced by a local background value. The non-linear filter is excellent for removing data spikes. The cut-off wavelength used for the non-linear filter is the same as the wavelength specified for the low-pass filter (see above section).

If the non-linear filter tolerance is blank, a non-linear filter is not applied.

Script Parameter: BIGRID.TOLN

Specify pre-filter sample increment.

If the distance between each data point on a line differs by more than the default tolerance (2 %), the line is first re-sampled at an increment using the down-line spline. The data is then filtered and splined again to the grid cell size. By default, the resample increment is set to the smaller of the grid cell size or the smallest data increment on the first survey line.

Script Parameter: BIGRID.FDX

Select pre-sort data options, "none", "pre-sort data", "remove backtracks" (Default "none").

Presorting of the data will sort each line so that all data points are consecutive in the gridding direction. Caution should be exercised when pre-sorting because data entry errors may result in the data being sorted out of order.

The remove back-track data option will cause data in the line that appears to backtrack to be removed. Use this option when processing airborne geophysical data.

Script Parameters: BIGRID.PRESORT

You can either grid the original data or its logarithmic (base 10) representation. Gridding the log of the data can be a very effective way to reduce distortion due to highly skewed data such as geochemical data.

The options are:

• linear: grid the data as it is.
• log, save as linear: grid the data in logarithmic space and clip all values less than ‘Log minimum’ to the ‘Log minimum’ value, then convert the data back to linear space before saving it to the grid file.
• log-linear, save as linear: grid the data above the positive ‘Log minimum’ and below the negative ‘Log minimum’ in logarithmic space (flip the sign of the data originally in the negative range to take the logarithm then inherit back the sign of the original data; grid the conditioned data). After gridding, all cell values outside the ± ‘Log minimum’ range are converted back to linear space and scaled to maintain continuity at the boundary. Data within the ± ‘Log minimum’ range remains intact and is gridded in a linear sense.
  Finally, the linear representation of the data (in both ranges) is saved to the grid file.
• log, save as log: same as ‘log, save as linear’ except that the grid values are kept in log space: the gridded values are saved to the grid file in their logarithmic representation.
• log-linear, save as log: same as ‘log-linear, save as linear’ except that the grid values are not converted back from log space. The output grid is in logarithmic space with the large amplitude anomalies being somewhat moderated.

Script Parameters: BIGRID.LOGOPT
  linear: 0
  log, save as linear: -1
  log-linear, save as linear: -2
  log, save as log: 1
  log-linear, save as log: 2

If gridding in log space (see the Log options above), this parameter specifies the minimum value. The default is 1.

Script Parameters: BIGRID.LOGMIN

Trend angle degree ccw from +X.

Script Parameters: BIGRID.TRA

Select the grid direction "default", "For vertical lines (KX = 1)", "for horizontal lines (KX = -1).

The output grid direction parameter (represented by KX) determines whether the output grid lines will be parallel to the output grid X-axis (KX = 1) or the Y-axis (KX = -1). The variable KX should be chosen such that: the first interpolation is close to the survey line direction or, the second interpolation, which defines the direction of the output grid lines, is across the survey lines.

Note: If the survey lines run in the Y direction (vertical), KX should be 1; if the survey lines run in the X direction (horizontal), KX should be -1.

By default, BIGRID will choose KX so that the second interpolation direction is closest to perpendicular to the average line direction (i.e. the average of all lines) unless a trend angle is specified, in which case KX will be 1.

For more information see the Application notes below.

Specify "Yes" if you have horizontal gradient data that you would like to use in the gridding process.

• When data along the survey line is adequately sampled, splining along the survey direction honours the observed data. However, splining across the survey lines has more freedom to deviated from the true ground response. Supplying this gradient restricts this freedom in the direction normal to the primary survey direction, and improves on the conformity of the splined data with the actual ground response.

Begin gridding.