DESCRIPTION

Type: Package
Package: NLMR
Title: Simulating Neutral Landscape Models
Version: 1.1.1
Authors@R: c(
    person("Marco", "Sciaini", , "marco.sciaini@posteo.net", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-3042-5435")),
    person("Matthias", "Fritsch", , "matthias.fritsch@forst.uni-goettingen.de", role = "aut"),
    person("Maximilian", "Hesselbarth", , "mhk.hesselbarth@gmail.com", role = "aut"),
    person("Craig", "Simpkins", , "simpkinscraig063@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-3212-1379")),
    person("Cédric", "Scherer", , "cedricphilippscherer@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-0465-2543")),
    person("Sebastian", "Hanß", role = "aut",
           comment = c(ORCID = "0000-0002-3990-4897")),
    person("Laura", "Graham", role = "rev",
           comment = "Laura reviewed the package for rOpenSci, see \n                  https://github.com/ropensci/onboarding/issues/188"),
    person("Jeffrey", "Hollister", role = "rev",
           comment = "Jeffrey reviewed the package for rOpenSci, see \n                  https://github.com/ropensci/onboarding/issues/188")
  )
Maintainer: Marco Sciaini <marco.sciaini@posteo.net>
Description: 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 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.
License: GPL-3
URL: https://ropensci.github.io/NLMR/
BugReports: https://github.com/ropensci/NLMR/issues/
Depends:
    R (>= 3.1.0)
Imports: 
    checkmate,
    dplyr,
    fasterize,
    raster,
    Rcpp,
    sf,
    spatstat.random,
    spatstat.geom,
    stats,
    tibble
Suggests:
    ggplot2,
    highcharter,
    knitr,
    kableExtra,
    landscapemetrics,
    landscapetools,
    magrittr,
    pals,
    plotly,
    purrr,
    RandomFields,
    RandomFieldsUtils,
    rasterVis,
    rayshader,
    rgl,
    rmarkdown,
    testthat,
    viridis
LinkingTo: 
    Rcpp
VignetteBuilder: 
    knitr
Additional_repositories: https://predictiveecology.r-universe.dev/
ByteCompile: true
Config/Needs/website: bindrcpp, igraph, landscapemetrics, rasterVis, pals,
    rgl, viridis, plotly, rayshader
Encoding: UTF-8
LazyData: true
Roxygen: list(roclets = c("rd", "namespace", "collate"))
RoxygenNote: 7.2.1
SystemRequirements: C++11