pcds: Proximity Catch Digraphs and Their Applications

Contains the functions for generating patterns of segregation, association, CSR (complete spatial randomness) and Uniform data in one, two and three dimensional cases, for testing these patterns based on two invariants of various families of the proximity catch digraphs (PCDs) (see (Ceyhan (2005) ISBN:978-3-639-19063-2). The graph invariants used in testing spatial point data are the domination number (Ceyhan (2011) <doi:10.1080/03610921003597211>) and arc density (Ceyhan et al. (2006) <doi:10.1016/j.csda.2005.03.002>; Ceyhan et al. (2007) <doi:10.1002/cjs.5550350106>) of for two-dimensional data for visualization of PCDs for one, two and three dimensional data. The PCD families considered are Arc-Slice PCDs, Proportional-Edge PCDs and Central Similarity PCDs.

Version: 0.1.1
Imports: combinat, graphics, interp, plot3D, plotrix, Rdpack (≥ 0.7), stats
Suggests: scatterplot3d
Published: 2020-03-25
Author: Elvan Ceyhan
Maintainer: Elvan Ceyhan <elvanceyhan at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: pcds results


Reference manual: pcds.pdf
Package source: pcds_0.1.1.tar.gz
Windows binaries: r-devel: pcds_0.1.1.zip, r-release: pcds_0.1.1.zip, r-oldrel: pcds_0.1.1.zip
macOS binaries: r-release: pcds_0.1.1.tgz, r-oldrel: pcds_0.1.1.tgz
Old sources: pcds archive


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