This is an R package that 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 domination number and arc density of the proximity catch digraphs (PCDs) for two-dimensional data, for visualization of 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.
Install from GitHub : devtools::install_github("elvanceyhan/pcds")
install.packages('pcds')
S
being a dominating set or not for Arc Slice Proximity
Catch Digraphs (AS-PCDs) - one triangle caseS
to the point pt
for
Arc Slice Proximity Catch Digraphs (AS-PCDs) - one triangle casek
being an upper bound for the domination number of Central Similarity Proximity
Catch Digraph (CS-PCD) by the exact algorithm - standard equilateral triangle caseS
to the point pt
for Central Similarity
Proximity Catch Digraphs (CS-PCDs) - standard equilateral triangle caseS
to the point pt
for
Central Similarity Proximity Catch Digraphs (CS-PCDs) - one triangle caseS
being a dominating set or not for Central Similarity Proximity
Catch Digraphs (CS-PCDs) - standard equilateral triangle caseIndNCStri
which yields the indicator for the presence of an arc
from one point to another for Central Similarity Proximity Catch Digraphs (CS-PCDs)k
furthest points in a data set from vertices in each CC-vertex region in a triangleS
being a dominating set or not for Central Similarity Proximity
Catch Digraphs (CS-PCDs) - one triangle casek
furthest points from vertices in each CC-vertex region in a basic triangleS
being a dominating set or not for Proportional Edge Proximity
Catch Digraphs (PE-PCDs) - one triangle caseS
being a dominating set or not for Proportional Edge Proximity
Catch Digraphs (PE-PCDs) - standard equilateral triangle caser0
in the direction of vector v
(or if v
is a point,
in direction of a
and b
S
to the point pt
for Proportional Edge
Proximity Catch Digraphs (PE-PCDs) - standard equilateral triangle casecl2eVRcent
which finds the closest points among a data set in the
vertex regions to the respective edges in a triangleS
to the point pt
for
Proportional Edge Proximity Catch Digraphs (PE-PCDs) - one triangle caseM
, of ita
, b
, and c
TriLines
objecta
, b
, and c
P
and parallel to line joining 3D points A
and B
Patterns
objecta
and b
Lines3D
objectPCDs
objectPlanes
objectUniform
objectGamkCSTe
is for Patterns
objectlD1CCinTb
and lD2CCinTb
which are of class "TriLines" ---
The lines joining the midpoints of edges to the circumcenter (CC) in the basic triangle.P
and perpendicular to the plane spanned by 3D points A
,
B
, and C
PCDs
objectPCDs
objectLines3D
objectLines3D
objectM
-edge regions in a triangle that contains the points in a give data setExtrema
objectLines
objectLines
objecttri
and also the CS proximity regions which are also
triangular for points inside the triangle tri
with edge regions are based on the center of mass CM.Extrema
objectPlanes
objectLines
objectPlanes
objectPatterns
objectLines3D
objectUniform
objectUniform
objectTriLines
objectYp
points together with Xp
pointsPatterns
objectPCDs
objectTriLines
objectUniform
objectExtrema
objectLines
objectExtrema
objectTriLines
objectPlanes
object