Underlying Graphs of Proximity Catch Digraphs and Their Applications

Contains the functions for construction and visualization of underlying and reflexivity graphs of the three families of the proximity catch digraphs (PCDs), see (Ceyhan (2005) ISBN:978-3-639-19063-2), and for computing the edge density of these PCD-based graphs which are then used for testing the patterns of segregation and association against complete spatial randomness (CSR)) or uniformity in one and two dimensional cases. The PCD families considered are Arc-Slice PCDs, Proportional-Edge (PE) PCDs (Ceyhan et al. (2006) ) and Central Similarity PCDs (Ceyhan et al. (2007) ). See also (Ceyhan (2016) ) for edge density of the underlying and reflexivity graphs of PE-PCDs. The package also has tools for visualization of PCD-based graphs for one, two, and three dimensional data.

This is an R package that contains the functions for construction and visualization of the underlying or reflexivity graphs of the proximity catch digraphs (PCDs) for one, two and three dimensional data. The PCD families considered are Arc-Slice (AS) PCDs, Proportional-Edge (PE) PCDs and Central Similarity (CS) PCDs. The package also contains functions for testing patterns of segregation and association against complete spatial randomness (CSR) and uniformity of data in one, two, and three dimensional cases using the edge density of these PCD-based graphs.

Install from GitHub: devtools::install_github("elvanceyhan/pcds.ugraph")