num.arcsAStri {pcds} | R Documentation |
Number of arcs of Arc Slice Proximity Catch Digraphs (AS-PCDs) and quantities related to the triangle - one triangle case
Description
An object of class "NumArcs"
.
Returns the number of arcs of Arc Slice Proximity Catch Digraphs (AS-PCDs)
whose vertices are the 2D data set, Xp
.
It also provides number of vertices (i.e., number of data points inside the triangle)
and indices of the data points that reside in the triangle.
The data points could be inside or outside a general
triangle tri
=T(A,B,C)=
(rv=1,rv=2,rv=3)
,
with vertices of tri
stacked row-wise.
AS proximity regions are defined with respect to the triangle tri
and vertex regions are based on the center, M=(m_1,m_2)
in Cartesian coordinates
or M=(\alpha,\beta,\gamma)
in barycentric coordinates
in the interior of the triangle tri
or based on circumcenter of tri
;
default is M="CC"
, i.e., circumcenter of tri
.
For the number of arcs, loops are not allowed,
so arcs are only possible for points inside the triangle, tri
.
See also (Ceyhan (2005, 2010)).
Usage
num.arcsAStri(Xp, tri, M = "CC")
Arguments
Xp |
A set of 2D points which constitute the vertices of the digraph (i.e., AS-PCD). |
tri |
Three 2D points, stacked row-wise, each row representing a vertex of the triangle. |
M |
The center of the triangle.
|
Value
A list
with the elements
desc |
A short description of the output: number of arcs and quantities related to the triangle |
num.arcs |
Number of arcs of the AS-PCD |
tri.num.arcs |
Number of arcs of the induced subdigraph of the AS-PCD
for vertices in the triangle |
num.in.tri |
Number of |
ind.in.tri |
The vector of indices of the |
tess.points |
Tessellation points, i.e., points on which the tessellation of
the study region is performed,
here, tessellation points are the vertices of the support triangle |
vertices |
Vertices of the digraph, |
Author(s)
Elvan Ceyhan
References
Ceyhan E (2005).
An Investigation of Proximity Catch Digraphs in Delaunay Tessellations, also available as technical monograph titled Proximity Catch Digraphs: Auxiliary Tools, Properties, and Applications.
Ph.D. thesis, The Johns Hopkins University, Baltimore, MD, 21218.
Ceyhan E (2010).
“Extension of One-Dimensional Proximity Regions to Higher Dimensions.”
Computational Geometry: Theory and Applications, 43(9), 721-748.
Ceyhan E (2012).
“An investigation of new graph invariants related to the domination number of random proximity catch digraphs.”
Methodology and Computing in Applied Probability, 14(2), 299-334.
See Also
num.arcsAS
, num.arcsPEtri
,
and num.arcsCStri
Examples
A<-c(1,1); B<-c(2,0); C<-c(1.5,2);
Tr<-rbind(A,B,C);
n<-10 #try also n<-20
set.seed(1)
Xp<-runif.tri(n,Tr)$g
M<-as.numeric(runif.tri(1,Tr)$g) #try also M<-c(1.6,1.2)
Narcs = num.arcsAStri(Xp,Tr,M)
Narcs
summary(Narcs)
plot(Narcs)