Articles | Volume 22, issue 1
Web Ecol., 22, 1–6, 2022
Web Ecol., 22, 1–6, 2022
Short communication
09 Feb 2022
Short communication | 09 Feb 2022

Perlin noise as a hierarchical neutral landscape model

Thomas R. Etherington

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Cited articles

Chipperfield, J. D., Dytham, C., and Hovestadt, T.: An updated algorithm for the generation of neutral landscapes by spectral synthesis, PLoS ONE, 6, e17040,, 2011. 
Etherington, T. R., Holland, E. P., and O'Sullivan, D.: NLMpy: a Python software package for the creation of neutral landscape models within a general numerical framework, Meth. Ecol. Evol., 6, 164–168,, 2015. 
Falconer, K.: Fractals: a very short introduction, Oxford University Press, Oxford, ISBN 978-0-19-967598-2, 2013. 
Fournier, A., Fussell, D., and Carpenter, L.: Computer rendering of stochastic models, Commun. ACM, 25, 371-384,, 1982. 
Gardner, R. H., Milne, B. T., Turner, M. G., and O'Neill, R. V.: Neutral models for the analysis of broad-scale landscape pattern, Landsc. Ecol., 1, 19–28,, 1987. 
Short summary
Landscape ecologists often use virtual or imaginary landscapes to explore how landscapes can effect ecological processes. In a similar manner, procedural modelling algorithms are used in computer graphics for the creation of virtual or imaginary worlds used in movies and computer games. Perlin noise is a procedural modelling algorithm that could be very useful for landscape ecologists, and this work explains and translates Perlin noise for landscape ecologists.