Back to Grid Method SummaryThis is the simplest of the modeling methods. Using Closest Point, each grid node is assigned a value equal to the value at the closest control point.
Example of use: If you have pre-gridded XYZ data displayed in the Utilities datasheet, use this gridding method to re-grid the data, using the same dimensions and node spacing as represented in the XYZ points.
Advantages: The grid value range will be equal to the data point range, with maximum and minimum grid node and data point values corresponding exactly. Grid nodes will honor the control points.
Disadvantages: This algorithm can produce a discontinuous grid model, with abrupt changes between grid nodes.
There are no menu options for this algorithm.
Back to Grid Method Summary
