Articles | Volume 22, issue 1
Web Ecol., 22, 1–6, 2022
https://doi.org/10.5194/we-22-1-2022
Web Ecol., 22, 1–6, 2022
https://doi.org/10.5194/we-22-1-2022
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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Revised manuscript under review for ESSD
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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, https://doi.org/10.1371/journal.pone.0017040, 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, https://doi.org/10.1111/2041-210X.12308, 2015. 
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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, https://doi.org/10.1007/BF02275262, 1987. 
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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.