NLMR: Simulating Neutral Landscape Models

Provides neutral landscape models (Gardner et al. 1987 <doi:10.1007/BF02275262>, With 1997 <doi:10.1046/j.1523-1739.1997.96210.x>) that can easily extend in existing landscape analyses. 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 (Saura & Martínez 2000 <doi:10.1023/A:1008107902848>, Etherington et al. 2015 <doi:10.1111/2041-210X.12308>) and includes utility functions to classify and combine the multiple 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: 0.2.1
Depends: R (≥ 3.1.0)
Imports: checkmate, dismo, dplyr, ggplot2, igraph, magrittr, purrr, RandomFields, raster, rasterVis, sp, spatstat, stats, tibble, tidyr, viridis, extrafont
Suggests: testthat, covr, knitr, rmarkdown, lintr
Published: 2018-02-16
Author: Marco Sciaini [aut, cre], Matthias Fritsch [aut], Craig Simpkins [aut], Cédric Scherer [ctb] (Implemented nlm_neigh)
Maintainer: Marco Sciaini <sciaini.marco at>
License: GPL-3
Copyright: file inst/COPYRIGHTS
NLMR copyright details
NeedsCompilation: no
Citation: NLMR citation info
CRAN checks: NLMR results


Reference manual: NLMR.pdf
Vignettes: NLM Concepts + Terminology
Frequently Asked Questions
Basic Usage of NLMR
Publication Record
Package source: NLMR_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: NLMR_0.2.1.tgz
OS X Mavericks binaries: r-oldrel: NLMR_0.2.tgz
Old sources: NLMR archive


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