Methods for calculating gradient surface metrics for continuous analysis of landscape features.
geodiv calculates gradient surface metrics in R. These metrics are applied to continuous spatial data (i.e., rasters or matrices) and represent spatial heterogeneity.
You can install the released version of geodiv from CRAN with:
install.packages("geodiv")
And the development version from GitHub with:
# install.packages("devtools")
# install from master branch
devtools::install_github("bioXgeo/geodiv")
# install from development branch
devtools::install_github("bioXgeo/geodiv",ref = "dev")
On Mac OS X, you may need to install the development tools here to get the package to install:
https://cran.r-project.org/bin/macosx/tools/
This is a basic example which shows you how to calculate several metrics over an entire image. geodiv may also be applied with moving windows over an entire image using the ‘texture_image’ function. For a more complex example, see the vignette.
library(geodiv)
# import example raster
data(normforest)
# apply metrics
sa(normforest) # average surface roughness
#> [1] 0.0442945
svk(normforest) # reduced valley depth
#> [1] 0.5449867
ssc(normforest) # mean summit curvature
#> [1] -0.02192238