R Pipelines to reduce the spatial autocorrelation in Species Distribution Models.
Spatial autocorrelation (SA) is a common challenge in Species Distribution Models, which may result in inappropriate spatial inference and prediction. I share a pipeline in R to reduce its effect. I use a simple example focused on a brown algae species capable of producing marine forests and a set of environmental predictors known to largely explain its distribution.
library(raster)
library(ggplot2)
library(sdmpredictors)
library(ecodist)
library(sp)
library(spThin)
Jorge Assis @ theMarineDataScientist
Except where otherwise noted, the content on this repository is licensed under a Creative Commons Attribution 4.0 International license.
Assis, J. (2020) R Pipelines to reduce the spatial autocorrelation in Species Distribution Models. theMarineDataScientist