Type: Package Package: NLMR Title: Simulating Neutral Landscape Models Version: 1.2.0 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 (, ). 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 (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. License: GPL-3 URL: https://docs.ropensci.org/NLMR/ BugReports: https://github.com/ropensci/NLMR/issues/ Depends: R (>= 3.1.0) Imports: checkmate, dplyr, fasterize, raster, 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")) RoxygenNote: 7.3.3 Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://ropensci.r-universe.dev Date/Publication: 2026-04-23 12:29:28 UTC RemoteUrl: https://github.com/ropensci/NLMR RemoteRef: main RemoteSha: 393db99722158455dd88dca630ce2f9ccd5924d8 NeedsCompilation: yes Packaged: 2026-07-01 08:19:00 UTC; root Author: Marco Sciaini [aut] (ORCID: ), Matthias Fritsch [aut], Maximilian Hesselbarth [aut], Craig Simpkins [aut] (ORCID: ), Cédric Scherer [aut] (ORCID: ), Sebastian Hanß [aut] (ORCID: ), Jakub Nowosad [aut, cre] (ORCID: ), 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