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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.
Last updated 4 months ago
null-modelsrandomizationrasterspatialspatial-analysisspecies-distribution-modelling
6.61 score 7 stars 2 dependents 32 scripts 559 downloads