Package: SESraster 0.7.1

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.

Authors:Neander Marcel Heming [aut, cre, cph], Flávio M. M. Mota [aut], Gabriela Alves-Ferreira [aut]

SESraster_0.7.1.tar.gz
SESraster_0.7.1.zip(r-4.7-any)SESraster_0.7.1.zip(r-4.6-any)SESraster_0.7.1.zip(r-4.5-any)
SESraster_0.7.1.tgz(r-4.6-any)SESraster_0.7.1.tgz(r-4.5-any)
SESraster_0.7.1.tar.gz(r-4.7-any)SESraster_0.7.1.tar.gz(r-4.6-any)
SESraster_0.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SESraster/json (API)

# Install 'SESraster' in R:
install.packages('SESraster', repos = c('https://hemingnm.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hemingnm/sesraster/issues

Pkgdown/docs site:https://hemingnm.github.io

On CRAN:

Conda:

null-modelsrandomizationrasterspatialspatial-analysisspecies-distribution-modelling

6.74 score 8 stars 2 packages 38 scripts 403 downloads 9 exports 3 dependencies

Last updated from:214f53d1a4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK182
source / vignettesOK213
linux-releaseOK168
macos-releaseOK163
macos-oldrelOK184
windows-develOK112
windows-releaseOK97
windows-oldrelOK88
wasm-releaseOK135

Exports:algorithm_metricsbootspat_ffbootspat_naivebootspat_strfit.memoryfr2probload_ext_dataplot_alg_metricsSESraster

Dependencies:Rcpprlangterra

Null model algorithms
Contents | Introduction | Algorithms | Spatial null model algorithms in SESraster | References
Rendered fromnull-models.Rmdusingknitr::rmarkdown

Last update: 2023-07-21
Started: 2023-07-17

Spatial null model algorithms in SESraster
Contents | Installation | Analysis | Random species generation | Spatially Unstructured Randomization | Equiprobable-Equiprobable: by site and species simultaneously | Fixed-Equiprobable: by species | Equiprobable-Fixed: by site | Spatially Structured Randomization | Fixed-Proportional: function bootspat_str() | Fixed-Fixed: function bootspat_ff() | Standardized effect sizes | References
Rendered fromspatial-null-models.Rmdusingknitr::rmarkdown

Last update: 2023-07-20
Started: 2023-07-17

Standardized effect sizes
Contents | Standardized effect size | Calculating SES | Random species generation | SES with spatial randomization | Passing arguments to FUN | SES from species trait randomization | Conclusion | References
Rendered fromSES.Rmdusingknitr::rmarkdown

Last update: 2023-07-17
Started: 2023-07-17