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NLMR

Simulating Neutral Landscape Models

Provides neutral landscape models (, < 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 spatial 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.

News

NLMR 0.4.1 Release Notes

  • Bugfix in nlm_mpd to not rely on landscapetools

NLMR 0.4 Release Notes

  • nlm_neigh, nlm_mpd and nlm_randomrectangularcluster are now implemented in Rcpp
  • all of the Rcpp also take the R random seed
  • Minor bug fixes
  • Improvements to documentation
  • More examples on the package website

NLMR 0.3.2 Release Notes

  • Update citation

NLMR 0.3.1 Release Notes

  • Minor bug fixes
  • Updated documentation
  • removed purrr as dependency

NLMR 0.3.0 Release Notes

  • successful review through rOpenSci
  • split package into two packages:
    • NLMR
      • contains now only the neutral landscape models, minimal dependencies
    • landscapetools
      • contains now only utility functions
  • small bug fixes
  • nlm_fBm is now nlm_fbm

NLMR 0.2.1 Release Notes

  • Skip one test on CRAN to keep the Roboto font available
  • Function show_landscape to plot a list of rasters as ggplot2 facet
  • Small updates to the webpage

NLMR 0.2 Release Notes

  • Small bug fixes
  • New neutral landscape models
    • nlm_wheys: Simulates a wheyed neutral landscape model
  • Parameter p in nlm_curds now controls the proportion of habitat instead of the amount of matrix
  • Implemented new theme theme_nlm
  • Functions to coerce raster to tibbles and vice versa (for facetting with ggplot2)
  • We now have unit tests covering the main functionality of the package
  • Removed several packages as dependencies

NLMR 0.1.0 Release Notes

v0.1.0 was released on 30/11/2017

  • First stable release of NLMR

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("NLMR")

1.1 by Marco Sciaini, a month ago

https://ropensci.github.io/NLMR/

Report a bug at https://github.com/ropensci/NLMR/issues/

Browse source code at https://github.com/cran/NLMR

Authors: Marco Sciaini [aut, cre] , Matthias Fritsch [aut] , Maximilian Hesselbarth [aut] , Craig Simpkins [aut] , Cédric Scherer [aut] , Sebastian Hanß [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)

Documentation:   PDF Manual  

GPL-3 license

Imports checkmate, dplyr, RandomFields, raster, spatstat.core, spatstat.geom, igraph, stats, tibble, fasterize, sf, Rcpp

Suggests testthat, covr, knitr, rmarkdown, lintr, landscapetools

Linking to Rcpp

System requirements: C++11

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