Gliding Box Lacunarity and Other Metrics for 2D Random Closed
Sets // Functions for estimating the gliding box lacunarity
(GBL), covariance, and pair-correlation of a random closed set
(RACS) in 2D from a binary coverage map (e.g. presence-absence
land cover maps). Contains a number of newly-developed
covariance-based estimators of GBL (Hingee et al., 2019)
doi:10.1007/s13253-019-00351-9 and balanced estimators,
proposed by Picka (2000) http://www.jstor.org/stable/1428408,
for covariance, centred covariance, and pair-correlation. Also
contains methods for estimating contagion-like properties of
RACS and simulating 2D Boolean models. Binary coverage maps
are usually represented as raster images with pixel values of
TRUE, FALSE or NA, with NA representing unobserved pixels. A
demo for extracting such a binary map from a geospatial data
format is provided. Binary maps may also be represented using
polygonal sets as the foreground, however for most computations
such maps are converted into raster images. The package is
based on research conducted during the author's PhD studies.