Randomization of presence/absence species distribution raster data with or without including spatial structure for calculating standardized effect sizes and testing null hypothesis. The randomization algorithms are based on classical algorithms for matrices (Gotelli 2000, <doi:10.2307/177478>) implemented for raster data.
Version: | 0.7.0 |
Depends: | R (≥ 2.10) |
Imports: | graphics, methods, rlang, stats, terra, utils |
Suggests: | kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2023-08-10 |
DOI: | 10.32614/CRAN.package.SESraster |
Author: | Neander Marcel Heming [aut, cre, cph], Flávio M. M. Mota [aut], Gabriela Alves-Ferreira [aut] |
Maintainer: | Neander Marcel Heming <neanderh at yahoo.com.br> |
BugReports: | https://github.com/HemingNM/SESraster/issues |
License: | GPL (≥ 3) |
URL: | https://CRAN.R-project.org/package=SESraster, https://github.com/HemingNM/SESraster, https://hemingnm.github.io/SESraster/ |
NeedsCompilation: | no |
Citation: | SESraster citation info |
Materials: | README NEWS |
CRAN checks: | SESraster results |
Reference manual: | SESraster.pdf |
Vignettes: |
Standardized effect sizes Null model algorithms Spatial null model algorithms in SESraster |
Package source: | SESraster_0.7.0.tar.gz |
Windows binaries: | r-devel: SESraster_0.7.0.zip, r-release: SESraster_0.7.0.zip, r-oldrel: SESraster_0.7.0.zip |
macOS binaries: | r-release (arm64): SESraster_0.7.0.tgz, r-oldrel (arm64): SESraster_0.7.0.tgz, r-release (x86_64): SESraster_0.7.0.tgz, r-oldrel (x86_64): SESraster_0.7.0.tgz |
Old sources: | SESraster archive |
Reverse imports: | divraster, phyloraster |
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