# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "SESraster" in publications use:' type: software license: GPL-3.0-or-later title: 'SESraster: Raster Randomization for Null Hypothesis Testing' version: 0.7.0 abstract: 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, ) implemented for raster data. authors: - family-names: Heming given-names: Neander Marcel email: neanderh@yahoo.com.br orcid: https://orcid.org/0000-0003-2461-5045 - family-names: Mota given-names: Flávio M. M. email: flaviomoc@gmail.com orcid: https://orcid.org/0000-0002-0308-7151 - family-names: Alves-Ferreira given-names: Gabriela email: gabriela-alves77@hotmail.com orcid: https://orcid.org/0000-0001-5661-3381 preferred-citation: type: generic title: 'SESraster: Raster Randomization for Null Hypothesis Testing' authors: - family-names: Heming given-names: Neander Marcel email: neanderh@yahoo.com.br orcid: https://orcid.org/0000-0003-2461-5045 - family-names: Mota given-names: Flávio M. M. email: flaviomoc@gmail.com orcid: https://orcid.org/0000-0002-0308-7151 - family-names: Alves-Ferreira given-names: Gabriela email: gabriela-alves77@hotmail.com orcid: https://orcid.org/0000-0001-5661-3381 year: '2023' notes: R package version 0.7.0 url: https://CRAN.R-project.org/package=SESraster repository: https://CRAN.R-project.org/package=SESraster repository-code: https://github.com/HemingNM/SESraster url: https://CRAN.R-project.org/package=SESraster date-released: '2023-08-10' contact: - family-names: Heming given-names: Neander Marcel email: neanderh@yahoo.com.br orcid: https://orcid.org/0000-0003-2461-5045 identifiers: - type: url value: https://hemingnm.github.io/SESraster/