Package: NLMR
Type: Package
Title: Simulating Neutral Landscape Models
Version: 0.2.1
Authors@R: c(person("Marco", "Sciaini", email = "sciaini.marco@gmail.com", role = c("aut", "cre")), 
    person("Matthias", "Fritsch", email = "matthias.fritsch@forst.uni-goettingen.de", role =  c("aut")),
    person("Craig", "Simpkins", email = "simpkinscraig063@gmail.com", role =  c("aut")),
    person("Cédric", "Scherer", email = "cedricphilippscherer@gmail.com", role =  c("ctb"), comment = "Implemented nlm_neigh"))
Maintainer: Marco Sciaini <sciaini.marco@gmail.com>
Description: 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.                                                                                                  
License: GPL-3
Copyright: file inst/COPYRIGHTS
Encoding: UTF-8
LazyData: true
ByteCompile: true
Depends: R (>= 3.1.0)
RoxygenNote: 6.0.1
Imports: checkmate, dismo, dplyr, ggplot2, igraph, magrittr, purrr,
        RandomFields, raster, rasterVis, sp, spatstat, stats, tibble,
        tidyr, viridis, extrafont
URL: https://marcosci.github.io/NLMR/
BugReports: https://github.com/marcosci/NLMR/issues/
Suggests: testthat, covr, knitr, rmarkdown, lintr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-02-16 13:55:27 UTC; marco
Author: Marco Sciaini [aut, cre],
  Matthias Fritsch [aut],
  Craig Simpkins [aut],
  Cédric Scherer [ctb] (Implemented nlm_neigh)
Repository: CRAN
Date/Publication: 2018-02-16 14:07:25 UTC
