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Spatial Autocorrelation

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.

Dependences

library(raster)
library(ggplot2)
library(sdmpredictors)
library(ecodist)
library(sp)
library(spThin)

Authors

Jorge Assis @ theMarineDataScientist

License

Except where otherwise noted, the content on this repository is licensed under a Creative Commons Attribution 4.0 International license.

Appropriate credits

Assis, J. (2020) R Pipelines to reduce the spatial autocorrelation in Species Distribution Models. theMarineDataScientist

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Reducing spatial autocorrelation in Species Distribution Models

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