Triangulation

The triangulation gridding method is an exact interpolator that draws lines between data input points to form triangles. This results in a network of triangles over the gridding area where no triangle edges are intersected by other triangular edges. Where grid nodes coincide with input data points, data points are exactly honored.

Elsewhere, grid node values are interpolated using weights which decrease linearly with distance from data input values (triangle corners). Abrupt changes in data values, such as in faulted areas, will be reflected in the contours if enough input data points are available to define the fault boundaries. In areas with few input data points, triangulation can produce angular results. Smoothing of the grid can help minimize this, but grid data values will be ‘smeared’ in the process.

Change the default parameters by clicking <More Options> in the Gridding dialog box. View image

This will allow you to change:

Input Data Restriction – Restrict the input data to positive or negative values, and minimum and/or maximum values.
Duplicated Data Treatment - Specify how to grid an area where two or more input data points fall at the same location.
Data Search Option – Select to search for data points based on proximity to the grid node or to use a directional bias. (Not an option for Minimum Curvature.)
Data Outside Gridding Area – Select to include data values outside your area of interest in the gridding calculation.
Data Output Option – Limit the range of output grid node values.

Currently, linear interpolation is the only available interpolation method in the triangulation gridding method. Values are assigned to grid nodes using weights which decrease linearly with distance from data input values (triangle corners).

See Gridding Methods - More Options to learn about the other options found in this window.

What do you want to do?

Get an overview of gridding methods