Type: Package
Package: NLMR
Title: Simulating Neutral Landscape Models
Version: 1.4.0
Authors@R: c(
    person("Marco", "Sciaini", , "marco.sciaini@posteo.net", role = "aut",
           comment = c(ORCID = "0000-0002-3042-5435")),
    person("Matthias", "Fritsch", , "matthias.fritsch@forst.uni-goettingen.de", role = "aut"),
    person("Maximilian", "Hesselbarth", , "mhk.hesselbarth@gmail.com", role = "aut"),
    person("Craig", "Simpkins", , "simpkinscraig063@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-3212-1379")),
    person("Cédric", "Scherer", , "cedricphilippscherer@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-0465-2543")),
    person("Sebastian", "Hanß", role = "aut",
           comment = c(ORCID = "0000-0002-3990-4897")),
    person("Jakub", "Nowosad", , "nowosad.jakub@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-1057-3721")),
    person("Laura", "Graham", role = "rev",
           comment = "Laura reviewed the package for rOpenSci, see \n                  https://github.com/ropensci/onboarding/issues/188"),
    person("Jeffrey", "Hollister", role = "rev",
           comment = "Jeffrey reviewed the package for rOpenSci, see \n                  https://github.com/ropensci/onboarding/issues/188")
  )
Description: Provides neutral landscape models
        (<doi:10.1007/BF02275262>,
        <https://sci-hub.in/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
        independent of ecological processes. 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 spatial data format (SpatRaster objects from the
        'terra' package) and can, therefore, be used in any sort of
        raster data operation that is performed with standard
        observation data.
License: GPL-3
URL: https://docs.ropensci.org/NLMR/
BugReports: https://github.com/ropensci/NLMR/issues/
Depends: R (>= 3.1.0)
Imports: checkmate, dplyr, terra, Rcpp, sf, spatstat.random,
        spatstat.geom, stats, tibble
Suggests: igraph, knitr, kableExtra, landscapemetrics, purrr,
        rmarkdown, testthat
LinkingTo: Rcpp
VignetteBuilder: knitr
ByteCompile: true
Encoding: UTF-8
Roxygen: list(roclets = c("rd", "namespace", "collate"))
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev
        libssl-dev libproj-dev libsqlite3-dev libudunits2-dev
Repository: https://predictiveecology.r-universe.dev
Date/Publication: 2026-10-07 08:15:37 UTC
RemoteUrl: https://github.com/ropensci/NLMR
RemoteRef: HEAD
RemoteSha: 8c60bef072baa4b821a76b00aeee433fb2472f37
NeedsCompilation: yes
Packaged: 2026-10-07 08:31:29 UTC; root
Author: Marco Sciaini [aut] (ORCID: <https://orcid.org/0000-0002-3042-5435>),
  Matthias Fritsch [aut],
  Maximilian Hesselbarth [aut],
  Craig Simpkins [aut] (ORCID: <https://orcid.org/0000-0003-3212-1379>),
  Cédric Scherer [aut] (ORCID: <https://orcid.org/0000-0003-0465-2543>),
  Sebastian Hanß [aut] (ORCID: <https://orcid.org/0000-0002-3990-4897>),
  Jakub Nowosad [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-1057-3721>),
  Laura Graham [rev] (Laura reviewed the package for rOpenSci, see
    https://github.com/ropensci/onboarding/issues/188),
  Jeffrey Hollister [rev] (Jeffrey reviewed the package for rOpenSci, see
    https://github.com/ropensci/onboarding/issues/188)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
