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
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.
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
Authors:
Marco Sciaini [aut, cre]
,
Matthias Fritsch [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)