Package: NLMR 1.1.1
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:
NLMR_1.1.1.tar.gz
NLMR_1.1.1.zip(r-4.5)NLMR_1.1.1.zip(r-4.4)NLMR_1.1.1.zip(r-4.3)
NLMR_1.1.1.tgz(r-4.4-x86_64)NLMR_1.1.1.tgz(r-4.4-arm64)NLMR_1.1.1.tgz(r-4.3-x86_64)NLMR_1.1.1.tgz(r-4.3-arm64)
NLMR_1.1.1.tar.gz(r-4.5-noble)NLMR_1.1.1.tar.gz(r-4.4-noble)
NLMR_1.1.1.tgz(r-4.4-emscripten)NLMR_1.1.1.tgz(r-4.3-emscripten)
NLMR.pdf |NLMR.html✨
NLMR/json (API)
NEWS
# Install 'NLMR' in R: |
install.packages('NLMR', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ropensci/nlmr/issues
landscape-ecologyneutral-landscape-modelpeer-reviewedspatial
Last updated 1 months agofrom:196dbfd2b1 (on master). Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 02 2024 |
R-4.5-win-x86_64 | NOTE | Oct 02 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 02 2024 |
R-4.4-win-x86_64 | NOTE | Oct 02 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 02 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 02 2024 |
R-4.3-win-x86_64 | NOTE | Oct 02 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 02 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 02 2024 |
Exports:nlm_curdsnlm_distancegradientnlm_edgegradientnlm_fbmnlm_gaussianfieldnlm_mosaicfieldnlm_mosaicgibbsnlm_mosaictessnlm_mpdnlm_neighnlm_percolationnlm_planargradientnlm_randomnlm_randomclusternlm_randomrectangularcluster
Dependencies:backportscheckmateclassclassIntcliDBIdeldirdplyre1071fansifasterizegenericsglueKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigpolyclipproxyR6rasterRcppRcppArmadillorlangs2sfspspatstat.dataspatstat.geomspatstat.randomspatstat.univarspatstat.utilsterratibbletidyselectunitsutf8vctrswithrwk
Readme and manuals
Help Manual
Help page | Topics |
---|---|
nlm_curds | nlm_curds |
nlm_distancegradient | nlm_distancegradient |
nlm_edgegradient | nlm_edgegradient |
nlm_fbm | nlm_fbm |
nlm_gaussianfield | nlm_gaussianfield |
nlm_mosaicfield | nlm_mosaicfield |
nlm_mosaicgibbs | nlm_mosaicgibbs |
nlm_mosaictess | nlm_mosaictess nlm_polylands |
nlm_mpd | nlm_mpd |
nlm_neigh | nlm_neigh |
nlm_percolation | nlm_percolation |
nlm_planargradient | nlm_planargradient |
nlm_random | nlm_random |
nlm_randomcluster | nlm_randomcluster |
nlm_randomrectangularcluster | nlm_randomrectangularcluster |