Package: SESraster 0.7.0

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]

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SESraster.pdf |SESraster.html✨
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Peer review:

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

On CRAN:

null-modelsrandomizationrasterspatialspatial-analysisspecies-distribution-modelling

9 exports 6 stars 1.91 score 3 dependencies 2 dependents 171 downloads

Last updated 12 months agofrom:9e26b7c420

Exports:algorithm_metricsbootspat_ffbootspat_naivebootspat_strfit.memoryfr2probload_ext_dataplot_alg_metricsSESraster

Dependencies:Rcpprlangterra