Package: NLMR 1.1.1

Marco Sciaini

NLMR: Simulating Neutral Landscape Models

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.

Authors:Marco Sciaini [aut, cre], Matthias Fritsch [aut], Maximilian Hesselbarth [aut], Craig Simpkins [aut], Cédric Scherer [aut], Sebastian Hanß [aut], Laura Graham [rev], Jeffrey Hollister [rev]

NLMR_1.1.1.tar.gz
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NLMR_1.1.1.tgz(r-4.4-arm64)NLMR_1.1.1.tgz(r-4.4-x86_64)NLMR_1.1.1.tgz(r-4.3-arm64)NLMR_1.1.1.tgz(r-4.3-x86_64)
NLMR_1.1.1.tar.gz(r-4.5-noble)NLMR_1.1.1.tar.gz(r-4.4-noble)
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NLMR.pdf |NLMR.html✨
NLMR/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/ropensci/nlmr/issues

On CRAN:

landscape-ecologyneutral-landscape-modelpeer-reviewedspatial

15 exports 64 stars 3.58 score 43 dependencies 126 downloads

Last updated 3 months agofrom:29d97081b4 (on master)

Exports:nlm_curdsnlm_distancegradientnlm_edgegradientnlm_fbmnlm_gaussianfieldnlm_mosaicfieldnlm_mosaicgibbsnlm_mosaictessnlm_mpdnlm_neighnlm_percolationnlm_planargradientnlm_randomnlm_randomclusternlm_randomrectangularcluster

Dependencies:backportscheckmateclassclassIntcliDBIdeldirdplyre1071fansifasterizegenericsglueKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigpolyclipproxyR6rasterRcppRcppArmadillorlangs2sfspspatstat.dataspatstat.geomspatstat.randomspatstat.utilsterratibbletidyselectunitsutf8vctrswithrwk