Raster Randomization for Null Hypothesis Testing R package SESraster version 0.7.1 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. Software Depends: R (>= 2.10) Imports: graphics, methods, rlang, stats, terra, utils Suggests: kableExtra, knitr, rmarkdown, testthat (>= 3.0.0) Neander Marcel Heming <neanderh@yahoo.com.br> Comprehensive R Archive Network (CRAN) Neander Marcel Heming [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2461-5045>), Flávio M. M. Mota [aut] (ORCID: <https://orcid.org/0000-0002-0308-7151>), Gabriela Alves-Ferreira [aut] (ORCID: <https://orcid.org/0000-0001-5661-3381>) GPL (>= 3) 2024-10-22 application/tgz https://CRAN.R-project.org/package=SESraster doi:10.32614/CRAN.package.SESraster