Welcome to the Tinfour Software Project Documentation

To help you use Tinfour, we've posted four flavors of documentation:

You can find source code and project information on Github at:

What Tinfour Does

The focus of Tinfour is the Delaunay Triangulation. The Delaunay Triangulation defines an optimal form for organizing unstructured or semi-random sample points into a triangular mesh. That optimality makes the Delaunay Triangulation a useful tool for interpolation, grid construction, and surface analysis.

Surface Models using TINs

The Ideas

The articles listed below describe the ideas that form the basis of the Tinfour software.

The Delaunay Triangulations

Natural Neighbor Interpolation

Natural Neighbor Interpolation is a technique for reconstructing a smooth and visually pleasing surface from a set of scattered sample points.

Volume and Capacity Analysis for Lakes and Reservoirs

The Constrained Delaunay Triangulation (CDT) can be used as an efficient tool for computing the volume and capacity of lakes and reservoirs. This series of articles describes the Tinfour technique and how its used in an application called the Simple Volumetric Model (SVM)