NLMR: Simulating Neutral Landscape Models

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 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 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.

Version: 0.4.2
Depends: R (≥ 3.1.0)
Imports: checkmate, dplyr, RandomFields, raster, spatstat, stats, tibble, fasterize, sf, Rcpp
LinkingTo: Rcpp
Suggests: testthat, covr, knitr, rmarkdown, lintr, landscapetools
Published: 2019-02-27
Author: Marco Sciaini ORCID iD [aut, cre], Matthias Fritsch [aut], Craig Simpkins ORCID iD [aut], Cédric Scherer ORCID iD [aut], Sebastian Hanß ORCID iD [aut], Laura Graham [rev] (Laura reviewed the package for rOpenSci, see, Jeffrey Hollister [rev] (Jeffrey reviewed the package for rOpenSci, see
Maintainer: Marco Sciaini <sciaini.marco at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Citation: NLMR citation info
Materials: NEWS
CRAN checks: NLMR results


Reference manual: NLMR.pdf
Vignettes: Basic Usage of NLMR
Package source: NLMR_0.4.2.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: NLMR_0.4.2.tgz, r-oldrel: NLMR_0.4.2.tgz
Old sources: NLMR archive


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