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Package: NLMR
Type: Package
Title: Simulating Neutral Landscape Models
Version: 0.6
Authors@R: c(person("Marco", "Sciaini", email = "marco.sciaini@posteo.net", role = c("aut", "cre"), comment = c(ORCID = '0000-0002-3042-5435')),
person("Matthias", "Fritsch", email = "matthias.fritsch@forst.uni-goettingen.de", role = "aut"),
person("Maximilian", "Hesselbarth", email = "mhk.hesselbarth@gmail.com", role = "aut"),
person("Craig", "Simpkins", email = "simpkinscraig063@gmail.com",
role = "aut", comment = c(ORCID = '0000-0003-3212-1379')),
person("Cédric", "Scherer", email = "cedricphilippscherer@gmail.com",
role = c("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
https://github.com/ropensci/onboarding/issues/188"),
person("Jeffrey", "Hollister", role = "rev",
comment = "Jeffrey reviewed the package for rOpenSci, see
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
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
Encoding: UTF-8
LazyData: true
ByteCompile: true
Depends:
R (>= 3.1.0)
SystemRequirements: C++11
Roxygen: list(roclets = c("rd", "namespace", "collate"))
RoxygenNote: 7.1.1
Imports:
checkmate,
dplyr,
RandomFields,
raster,
spatstat.core,
spatstat.geom,
stats,
tibble,
fasterize,
sf,
Rcpp
URL: https://ropensci.github.io/NLMR/
BugReports: https://github.com/ropensci/NLMR/issues/
Suggests:
testthat,
covr,
captioner,
knitr,
rmarkdown,
lintr,
landscapetools
LinkingTo: Rcpp
VignetteBuilder: knitr