| MultiHard {spatstat.model} | R Documentation |
The Multitype Hard Core Point Process Model
Description
Creates an instance of the multitype hard core point process model which can then be fitted to point pattern data.
Usage
MultiHard(hradii, types=NULL)
Arguments
hradii |
Matrix of hard core radii |
types |
Optional; vector of all possible types (i.e. the possible levels
of the |
Details
This is a multitype version of the hard core process.
A pair of points
of types i and j
must not lie closer than h_{ij} units apart.
The argument types need not be specified in normal use.
It will be determined automatically from the point pattern data set
to which the MultiStrauss interaction is applied,
when the user calls ppm.
However, the user should be confident that
the ordering of types in the dataset corresponds to the ordering of
rows and columns in the matrix hradii.
The matrix hradii
must be symmetric, with entries
which are either positive numbers or NA.
A value of NA indicates that no distance constraint should be applied
for this combination of types.
Note that only the hardcore radii
are specified in MultiHard.
The canonical parameters \log(\beta_j)
are estimated by ppm(), not fixed in
MultiHard().
Value
An object of class "interact"
describing the interpoint interaction
structure of the multitype hard core process with
hard core radii hradii[i,j].
Warnings
In order that ppm can fit the multitype hard core
model correctly to a point pattern X, this pattern must
be marked, with markformat equal to vector and the
mark vector marks(X) must be a factor. If the argument
types is specified it is interpreted as a set of factor
levels and this set must equal levels(marks(X)).
Changed Syntax
Before spatstat version 1.37-0,
the syntax of this function was different:
MultiHard(types=NULL, hradii).
The new code attempts to handle the old syntax as well.
Author(s)
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.
See Also
ppm,
pairwise.family,
ppm.object,
MultiStrauss,
MultiStraussHard,
Strauss.
See ragsMultiHard and rmh for
simulation.
Examples
h <- matrix(c(1,2,2,1), nrow=2,ncol=2)
# prints a sensible description of itself
MultiHard(h)
# Fit the stationary multitype hardcore process to `amacrine'
# with hard core operating only between cells of the same type.
h <- 0.02 * matrix(c(1, NA, NA, 1), nrow=2,ncol=2)
ppm(amacrine ~1, MultiHard(h))