Functions for estimating the gliding box lacunarity (GBL), covariance, and paircorrelation of a random closed set (RACS) in 2D from a binary coverage map (e.g. presenceabsence land cover maps). Contains a number of newlydeveloped covariancebased estimators of GBL (Hingee et al., 2019) <doi:10.1007/s13253019003519> and balanced estimators, proposed by Picka (2000) <http://www.jstor.org/stable/1428408>, for covariance, centred covariance, and paircorrelation. Also contains methods for estimating contagionlike 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.
Package details 


Author  Kassel Liam Hingee 
Maintainer  Kassel Liam Hingee <kassel.hingee@gmail.com> 
License  GPL (>= 2) 
Version  1.17 
URL  https://github.com/kasselhingee/lacunaritycovariance 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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