Tabulate Marks in Neighbourhood of Every Point in a Point Pattern
Visit each point in a point pattern, find the neighbouring points, and compile a frequency table of the marks of these neighbour points.
marktable(X, R, N, exclude=TRUE, collapse=FALSE)
X |
A marked point pattern.
An object of class |
R |
Neighbourhood radius. Incompatible with |
N |
Number of neighbours of each point. Incompatible with |
exclude |
Logical. If |
collapse |
Logical. If |
This algorithm visits each point in the point pattern X,
inspects all the neighbouring points within a radius R of the current
point (or the N nearest neighbours of the current point),
and compiles a frequency table of the marks attached to the
neighbours.
The dataset X must be a multitype point pattern, that is,
marks(X) must be a factor.
If collapse=FALSE (the default),
the result is a two-dimensional contingency table with one row for
each point in the pattern, and one column for each possible mark
value. The [i,j] entry in the table gives the number of
neighbours of point i that have mark j.
If collapse=TRUE, this contingency table is aggregated
according to the type of point, so that the result is a contingency
table with one row and one column for each possible mark value.
The [i,j] entry in the table gives the number of
neighbours of a point with mark i that have mark j.
A contingency table (object of class "table").
If collapse=FALSE, the table has one row for
each point in X, and one column for each possible mark value.
If collapse=TRUE, the table has one row and one column
for each possible mark value.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
and Rolf Turner r.turner@auckland.ac.nz
head(marktable(amacrine, 0.1)) head(marktable(amacrine, 0.1, exclude=FALSE)) marktable(amacrine, N=1, collapse=TRUE)
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