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Modeling Real-World Terrain


Ian Parberry, "Modeling Real-World Terrain with Exponentially Distributed Noise", To Appear in Journal of Computer Graphics Techniques, Vol. 4, No. 2, pp. 1-9, 2015. [Manuscript and BibTex at JCGT]


A statistical analysis of elevation data from a 160,000 square kilometer region finds that terrain gradients appear to be exponentially distributed at all horizontal resolutions. Simple modifications to the Perlin noise algorithm and the amortized noise algorithm change the gradient distribution in each octave to an exponential distribution, resulting in varied and interesting procedurally generated terrain.


Videos rendered with Terragen 3.

360° Panorama

Terrain generated with Perlin noise looks like the following. Because high gradients are frequent, the terrain is rough almost everywhere. (Mouse over to scroll left or right.)


If the gradients are chosen from an exponential distribution, then the terrain looks more natural, with rough places occurring less frequently.

Images rendered with Terragen 3.

Source Code

The source code for this paper is available for free download from https://github.com/Ian-Parberry/Tobler. It has been released under the GNU All-Permissive License and contains the following notice. If these conditions are unacceptable to you, then do not download them.
Copyright Ian Parberry, (date).

This file is made available under the GNU All-Permissive License.

Copying and distribution of this file, with or without
modification, are permitted in any medium without royalty
provided the copyright notice and this notice are preserved.
This file is offered as-is, without any warranty.
The source code is written in C++ and includes project files for Windows Visual Studio 2012 and a Unix makefile using g++.


Preliminary Version

A preliminary (and much longer) version of this paper was published under the title "Tobler's First Law of Geography, Self Similarity, and Perlin Noise: A Large Scale Analysis of Gradient Distribution in Southern Utah with Application to Procedural Terrain Generation", LARC Technical Report LARC-2014-04, Laboratory for Recreational Computing, University of North Texas, June 2014. [manuscript, BibTeX]

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