NLMR
1.1Simulating Neutral Landscape Models
Overview
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.
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11 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2022-03-05check problems were not corrected in time
- 1.12021-09-20 · diff ↗
- unarchivedReturned to CRAN2021-09-20
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2021-03-16email to maintainer was refused when asked for correction
- RR 4.0.0 released · 2020-04-24
- 1.02020-01-23 · diff ↗
- unarchivedReturned to CRAN2020-01-23
- archivedRemoved from CRAN2020-01-10check problems were not corrected in time
- RR 3.6.0 released · 2019-04-26
- 0.4.22019-02-27 · diff ↗
- 0.4.12019-01-28 · diff ↗
- 0.42018-11-16 · diff ↗
- 0.3.22018-10-02 · diff ↗
- 0.3.12018-09-28 · diff ↗
Package metadata
- Total releases
- 11
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.1.0
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