Description Usage Arguments Details Value References Examples

Simulates a random curd neutral landscape model with optional wheys.

1 |

`curds` |
[ |

`recursion_steps` |
[ |

`wheyes` |
[ |

`resolution` |
[ |

Random curdling recursively subdivides the plane into blocks. At each level of the recursion, a fraction of the blocks are declared as habitat (value == TRUE) while the remaining blocks continue to be defined as matrix (value == FALSE) and enter the next recursive cycle.

The optional argument (`wheyes`

) allows wheys to be added, in which a set proportion of cells that were
declared matrix (value == FALSE) during recursion, are now set as habitat cells (value == TRUE).

If

*curds_{1} = curds_{2} = recursion_steps_{2} = ... = curds_{n} =
recursion_steps_{n}*

the models resembles a binary random map.

Note that you can not set ncol and nrow with this landscape algorithm. The amount of cells and hence dimension of the raster is given by the vector product of the recursive steps.

raster

Keitt TH. 2000. Spectral representation of neutral landscapes.
*Landscape Ecology* 15:479-493.

Szaro, Robert C., and David W. Johnston, eds. Biodiversity in managed
landscapes: theory and practice. *Oxford University Press*, USA, 1996.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ```
# simulate random curdling
(random_curdling <- nlm_curds(curds = c(0.5, 0.3, 0.6),
recursion_steps = c(32, 6, 2)))
# simulate wheyed curdling
(wheyed_curdling <- nlm_curds(curds = c(0.5, 0.3, 0.6),
recursion_steps = c(32, 6, 2),
wheyes = c(0.1, 0.05, 0.2)))
## Not run:
# Visualize the NLMs
landscapetools::show_landscape(random_curdling)
landscapetools::show_landscape(wheyed_curdling)
## End(Not run)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.