Significance of Boundaries

Separates significant boundary constraints in a dataset from illusions. A modified permutation test is applied using the no-data zone areas above the top-left, top-right, bottom-right and bottom-left boundary lines as test statistics. The observed no-data zone areas are compared to the distribution of the random permutations to calculate a p-value for each boundary line. An article detailing the methodologies and rationale is currently in preparation.


Reference manual

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0.1.2 by Ruan de Wet, a year ago

Browse source code at

Authors: Ruan de Wet and Dirk Snyman

Documentation:   PDF Manual  

GPL-3 license

Imports ggplot2, raster, rlang, scales, sp, statmod, tidyr, dplyr, stringr, DescTools, devtools, usethis

Suggests testthat, knitr, rmarkdown

See at CRAN