SESraster: Raster Randomization for Null Hypothesis Testing
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Randomization of presence/absence species distribution raster data 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.
Neander M Heming
Post doc researcher
My research interests include the effects of global warming on the distribution and conservation of organisms.