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 (only random functions) to "soft" ones (with parameters) and generate landscape patterns that are not grounded in ecological reasoning. Thus, these patterns can be used as null models in landscape ecology. 'NLMR' combines a large number of algorithms from published software (Saura & Martínez 2000 <doi:10.1023/A:1008107902848>, Etherington et al. 2015 <doi:10.1111/2041-210X.12308>) for simulating neutral landscapes and includes utility functions to classify and combine the 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: 0.1.0
Depends: R (≥ 3.1.0)
Imports: checkmate, dismo, dplyr, ggplot2, gstat, igraph, lemon, magrittr, maptools, purrr, RandomFields, raster, rasterVis, R.utils, sp, spatstat, stats, tibble, viridis
Suggests: testthat, covr, knitr, rmarkdown, lintr
Published: 2017-11-30
Author: Marco Sciaini [aut, cre] (Department of Ecosystem Modelling, University of Goettingen), Matthias Fritsch [aut] (Department of Ecosystem Modelling, University of Goettingen), Cédric Scherer [aut] (Leibniz Institute for Zoo and Wildlife Research, Berlin), Craig Simpkins [aut] (Department of Ecosystem Modelling, University of Goettingen)
Maintainer: Marco Sciaini <sciaini.marco at gmail.com>
BugReports: https://github.com/marcosci/NLMR/issues/
License: GPL-3
URL: https://marcosci.github.io/NLMR/
NeedsCompilation: no
Materials: NEWS
CRAN checks: NLMR results

Downloads:

Reference manual: NLMR.pdf
Vignettes: Basic Usage of nlmR
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Basic Usage of nlmR
Package source: NLMR_0.1.0.tar.gz
Windows binaries: r-devel: NLMR_0.1.0.zip, r-release: NLMR_0.1.0.zip, r-oldrel: NLMR_0.1.0.zip
OS X El Capitan binaries: r-release: NLMR_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: NLMR_0.1.0.tgz

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