NLMR (0.2)

Simulating Neutral Landscape Models.

https://marcosci.github.io/NLMR/
http://cran.r-project.org/web/packages/NLMR

Provides neutral landscape models (Gardner et al. 1987 , With 1997 ) that can easily extend in existing landscape analyses. Neutral landscape models range from "hard" neutral models (only random functions) to "soft" ones (with parameters) and generate landscape patterns that are not grounded in ecological reasoning. Thus, these patterns can be used as null models in landscape ecology. 'NLMR' combines a large number of algorithms from published software (Saura & Martnez 2000 , Etherington et al. 2015 ) for simulating neutral landscapes and includes utility functions to classify and combine the landscapes. The simulation results are obtained in a geospatial data format (raster* objects from the 'raster' package) and can, therefore, be used in any sort of raster data operation that is performed with standard observation data.

Maintainer: Marco Sciaini
Author(s): Marco Sciaini [aut, cre], Matthias Fritsch [aut], Craig Simpkins [aut], Cdric Scherer [ctb] (Implemented nlm_neigh)

License: GPL-3

Uses: checkmate, dismo, dplyr, extrafont, ggplot2, igraph, magrittr, purrr, RandomFields, raster, rasterVis, sp, spatstat, tibble, viridis, testthat, knitr, rmarkdown, lintr, covr

Released about 1 year ago.