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

- The Ideas – Articles that introduce the concepts and techniques used in the Tinfour software. These pages cover general topics related to the Delaunay triangulation, graph theory, and geospatial analysis.
- The Wiki – Tutorials, code examples, useful tricks, and step-by-step instructions for using the Tinfour software in your own projects.
- The Internals – A PDF giving notes on the internal design and algorithms of the Tinfour API. If you wish to add new features to Tinfour, or write your own Delaunay triangulation software, you will find this document a useful source of information.
- The API –
Our source code includes lots of documentation. You can access the Javadoc for each
of the Tinfour modules at the following links:
- Core – The core implementation of our Delaunay triangulation, interpolation, and other support classes (no external dependencies)
- GIS – While Tinfour is not a Geographic Information System (GIS), it does provide a small set of tools for accessing GIS-related data sources including Lidar elevation and ESRI shapefiles.
- Demo – Demonstration implementations that show how to use the Tinfour APIs
- SVM – The Simple Volumetric Model (SVM), a hydrographic anaylsis utility for estimating the volume and capacity of lakes and reservoirs using the Delaunay Triangulation
- Analysis – The Analysis module includes our experimental Geographically Weighted Regression impementation as well as other mathematics and statistics applications.

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

- The Tinfour Repository – A free open-source collection of high-performance Delaunay Triangulation software written in Java.

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.

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

- An Introduction to the Delaunay Triangulation – The Delaunay Triangulation is a kind of Triangulated Irregular Network (TIN) with many desirable properties. This article provides information about what makes the Delaunay so useful.
- What is the Constrained Delaunay Triangulation and why would you care? – This article describes how the Delaunay can be extended to handle discontinuities and regional subdivisions in data sets

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

- An Introduction to Natural Neighbor Interpolation – This article provides a lightweight introduction to the ideas and mathematics behind the Natural Neighbor Interpolation. It also discusses some of the strengths and weaknesses of the technique.
- A Fast and Accurate Algorithm for Natural Neighbor Interpolation – The Tinfour software suite includes a robust implementation of the Natural Neighbor technique that can process over a million interpolation per second on a commodity laptop. This article describes the Tinfour algorithm and introduces an often overlooked test procedure that can be used to verify that a Natural Neighbors implementation is correct.

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)*

- Using the Delaunay to Compute Lake Volume, Part 1 – This article describes how the Constrained Delaunay was used to compute the volume of Lake Victoria in Africa. The analysis used two collections of depth soundings and a digitized shoreline information.
- Using the Delaunay to Compute Lake Volume, Part 2 – This article provides implementation notes and detailed results for the Tinfour lake computations. Sample code is available at the Tinfour Software Project repository on Github.
- Using the Delaunay to Create a Reservoir Volume Model – The volume of water in a reservoir can vary based on season and public demand. The Simple Volumetric Model provides a tool for computing water volume and capacity based on water level. Results are provided for the Alan Henry Reservoir in Texas, USA.
- Using the Simple Volumetric Model – This article provides details on using the Simple Volume Model. Results are provided for the Lake of the Arbuckles in Oklahoma, USA.