Nothing
SESraster: Raster Randomization for Null Hypothesis Testing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Neander Marcel Heming [aut, cre, cph] (<https://orcid.org/0000-0003-2461-5045>), Flávio M. M. Mota [aut] (<https://orcid.org/0000-0002-0308-7151>), Gabriela Alves-Ferreira [aut] (<https://orcid.org/0000-0001-5661-3381>) |
| Maintainer | Neander Marcel Heming <neanderh@yahoo.com.br> |
| License | GPL (>= 3) |
| Version | 0.7.1 |
| URL | https://CRAN.R-project.org/package=SESraster https://github.com/HemingNM/SESraster https://hemingnm.github.io/SESraster/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the SESraster package in your browser
Any scripts or data that you put into this service are public.
