NLMR (0.2.1)

Simulating Neutral Landscape Models.

https://marcosci.github.io/NLMR/
http://cran.r-project.org/web/packages/NLMR

Provides neutral landscape models (Gardner et al. 1987 , With 1997 ) 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 & Martnez 2000 , Etherington et al. 2015 ) 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.

Maintainer: Marco Sciaini
Author(s): Marco Sciaini [aut, cre], Matthias Fritsch [aut], Craig Simpkins [aut], Cdric Scherer [ctb] (Implemented nlm_neigh)

License: GPL-3

Uses: checkmate, dismo, dplyr, extrafont, ggplot2, igraph, magrittr, purrr, RandomFields, raster, rasterVis, sp, spatstat, tibble, tidyr, viridis, testthat, knitr, rmarkdown, lintr, covr

Released about 1 year ago.