elvanceyhan/pcds: Proximity Catch Digraphs and Their Applications

Contains the functions for generating patterns of segregation, association, complete spatial randomness (CSR)) 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.

Getting started

Package details

AuthorElvan Ceyhan
MaintainerElvan Ceyhan <elvanceyhan@gmail.com>
LicenseGPL-2
Version0.1.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("elvanceyhan/pcds")
elvanceyhan/pcds documentation built on Aug. 13, 2020, 6:17 p.m.