Calculate the autocorrelation feature or metric for a gray-level co-occurrence matrix. For definition and application, see Lofstedt et al. (2019) doi:10.1371/journal.pone.0212110 .
autocorrelation(x, ...)
# S3 method for default
autocorrelation(x, ...)
# S3 method for matrix
autocorrelation(x, ...)
# S3 method for FitLandDF
autocorrelation(x, nlevels, ...)gray-level co-occurrence matrix
additional parameters
desired number of discrete gray levels
autocorrelation metric of x
## calculate autocorrelation of arbitrary GLCM
# define arbitrary GLCM
x <- matrix(1:16, nrow = 4)
# normalize
n_x <- normalize_glcm(x)
# calculate autocorrelation
autocorrelation(n_x)
#> [1] 8.088235
## calculate autocorrelation of arbitrary fitness landscape
# create fitness landscape using FitLandDF object
vals <- runif(64)
vals <- array(vals, dim = rep(4, 3))
my_landscape <- fitscape::FitLandDF(vals)
# calculate autocorrelation of fitness landscape, assuming 2 discrete gray levels
autocorrelation(my_landscape, nlevels = 2)
#> [1] 2.237705
## confirm value of autocorrelation for fitness landscape
# extract normalized GLCM from fitness landscape
my_glcm <- get_comatrix(my_landscape, discrete = equal_discrete(2))
# calculate autocorrelation of extracted GLCM
autocorrelation(my_glcm) # should match value of above autocorrelation function call
#> [1] 2.237705