Authors@R: c(person("Marco", "Sciaini", email = "sciaini.marco@gmail.com", role = c("aut", "cre")),
person("Matthias", "Fritsch", email = "matthias.fritsch@forst.uni-goettingen.de", role =  c("aut")),
person("Craig", "Simpkins", email = "simpkinscraig063@gmail.com", role =  c("aut")),
person("Cédric", "Scherer", email = "cedricphilippscherer@gmail.com", role =  c("ctb"), comment = "Implemented nlm_neigh"))
neutral models (completely random distributed), to "soft" neutral models (definable spatial characteristics) and
generate landscape patterns that are independent of ecological processes.
combines a large number of algorithms from other published software for simulating neutral landscapes (Saura &
includes utility functions to classify and combine the multiple landscapes. The
Imports: checkmate, dismo, dplyr, ggplot2, igraph, magrittr, purrr,
RandomFields, raster, rasterVis, sp, spatstat, stats, tibble,
Cédric Scherer [ctb] (Implemented nlm_neigh)

Authors@R: c(person("Marco", "Sciaini", email = "sciaini.marco@gmail.com", role = c("aut", "cre"), comment = c(ORCID = '0000-0002-3042-5435')),
person("Matthias", "Fritsch", email = "matthias.fritsch@forst.uni-goettingen.de", role = "aut"),
person("Craig", "Simpkins", email = "simpkinscraig063@gmail.com",
person("Cédric", "Scherer", email = "cedricphilippscherer@gmail.com",
comment = "Laura reviewed the package for rOpenSci, see
person("Jeffrey", "Hollister", role = "rev",
comment = "Jeffrey reviewed the package for rOpenSci, see
Description: Provides neutral landscape models (<doi:10.1007/BF02275262>,
Neutral landscape models range from "hard"
neutral models (completely random distributed), to "soft" neutral models
(definable spatial characteristics) and generate landscape patterns that are
Thus, these patterns can be used as null models in landscape ecology. 'nlmr'
combines a large number of algorithms from other published software for
simulating neutral 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
Imports: checkmate, dplyr, purrr, RandomFields, raster, spatstat,
Suggests: testthat, covr, knitr, rmarkdown, lintr, classInt, rasterVis
Author: Marco Sciaini [aut, cre] (<https://orcid.org/0000-0002-3042-5435>),
Laura Graham [rev] (Laura reviewed the package for rOpenSci, see
Jeffrey Hollister [rev] (Jeffrey reviewed the package for rOpenSci, see