NLMR: Simulating Neutral Landscape Models

Provides neutral landscape models (<doi:10.1007/BF02275262>, <http://sci-hub.tw/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: 0.3.2
Depends: R (≥ 3.1.0)
Imports: checkmate, dplyr, RandomFields, raster, spatstat, stats, tibble, fasterize, sf
Suggests: testthat, covr, knitr, rmarkdown, lintr, classInt, rasterVis
Published: 2018-10-02
Author: Marco Sciaini ORCID iD [aut, cre], Matthias Fritsch [aut], Craig Simpkins ORCID iD [aut], Cédric Scherer ORCID iD [aut], 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: Marco Sciaini <sciaini.marco at gmail.com>
BugReports: https://github.com/ropensci/NLMR/issues/
License: GPL-3
URL: https://ropensci.github.io/NLMR/
NeedsCompilation: yes
Citation: NLMR citation info
Materials: NEWS
CRAN checks: NLMR results

Downloads:

Reference manual: NLMR.pdf
Vignettes: Basic Usage of NLMR
Package source: NLMR_0.3.2.tar.gz
Windows binaries: r-devel: NLMR_0.3.2.zip, r-release: NLMR_0.3.2.zip, r-oldrel: NLMR_0.3.2.zip
OS X binaries: r-release: NLMR_0.3.2.tgz, r-oldrel: NLMR_0.3.2.tgz
Old sources: NLMR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=NLMR to link to this page.