Triangulation with Linear Interpolation

The Triangulation with Linear Interpolation method in Surfer uses the optimal Delaunay triangulation. The algorithm creates triangles by drawing lines between data points. The original points are connected in such a way that no triangle edges are intersected by other triangles. The result is a patchwork of triangular faces over the extent of the grid. This method is an exact interpolator.


Each triangle defines a plane over the grid nodes lying within the triangle, with the tilt and elevation of the triangle determined by the three original data points defining the triangle. All grid nodes within a given triangle are defined by the triangular surface. Because the original data are used to define the triangles, the data are honored very closely.


Triangulation with Linear Interpolation works best when your data are evenly distributed over the grid area. Data sets that contain sparse areas result in distinct triangular facets on the map.


Triangulation Advanced Options Dialog

In the Grid Data dialog, specify Triangulation with Linear Interpolation as the Gridding Method and click the Advanced Options button to open the Triangulation Advanced Options dialog.


Set the anisotropy options and save Delaunay triangles
in the Triangulation Advanced Options dialog.



For more information about anisotropy options see Anisotropy.


Save Triangles

Check the Save Triangles To box to export the Delaunay triangles to a file. The resulting file can be loaded as a base map and combined with other maps (i.e. contour maps, 3D surface maps, etc.).

Click the button to open the Export Triangles dialog. Specify a Save In location, File name, and Save as type. The Delaunay triangle export formats include: .BLN, .BNA, .EMF, .GSB, .MIF, .PDF (Vector), and .WMF. Click the Save button to return to the Triangulation Advanced Options dialog.



The Surfer implementation of Triangulation with Linear Interpolation is based upon three papers. Lee and Schachter (1980) present a complete discussion of (Delaunay) triangulation, including the details of two algorithms and the underlying mathematical proofs. Lawson (1977) is equally informative. The algorithm presented in Guibas and Stolfi (1985) form the basis for the Surfer implementation.


Guibas, L., and J. Stolfi (1985), Primitives for the Manipulation of General Subdivisions and the Computation of Voronoi Diagrams, ACM Transactions on Graphics, v. 4, n. 2, p. 74-123.


Lawson, C. L. (1977), Software for C1 surface interpolation, Mathematical Software III, J. Rice ( ed.), Academic Press, New York, p. 161-193.


Lee, D. T., and Schachter, B. J. (1980), Two Algorithms for Constructing a Delaunay Triangulation, International Journal of Computer and Information Sciences, v. 9, n. 3, p. 219-242.




See Also

Grid Data

Gridding Method Comparison