In the spatstat library, a point pattern dataset is
described by an object of class "ppp". This function
creates such objects. The vectors x and y must be numeric vectors of
equal length. They are interpreted as the cartesian coordinates
of the points in the pattern.
A point pattern dataset is assumed to have been observed within a specific
region of the plane called the observation window.
An object of class "ppp" representing a point pattern
contains information specifying the observation window.
This window must always be specified when creating a point pattern dataset;
there is intentionally no default action of ``guessing'' the window
dimensions from the data points alone.
You can specify the observation window in several
(mutually exclusive) ways:
xrange, yrangespecify a rectangle
with these dimensions;polyspecifies a polygonal boundary.
If the boundary is a single polygon thenpolymust be a list with componentsx,ygiving the coordinates of the vertices.
If the boundary consists of several disjoint polygons
thenpolymust be a list of such lists
so thatpoly[[i]]$xgives the$x$coordinates
of the vertices of the$i$th boundary polygon.maskspecifies a binary pixel image with entries
that areTRUEif the corresponding pixel is inside
the window.windowis an object of class"owin"(seeowin.object) specifying the window.
The arguments xrange, yrange or poly
or mask are passed to the window creator function
owin for interpretation. See
owin for further details. The argument window, if given, must be an object of class
"owin". It is a full description of the window geometry,
and could have been obtained from owin or
as.owin, or by just extracting the observation window
of another point pattern, or by manipulating such windows.
See owin or the Examples below.
The optional argument marks is given if the point pattern
is marked, i.e. if each data point carries additional information.
For example, points which are classified into two or more different
types, or colours, may be regarded as having a mark which identifies
which colour they are. Data recording the locations and heights of
trees in a forest can be regarded as a marked point pattern where the
mark is the tree height.
In the current implementation, marks must be a vector, of
the same length as x and y, which is interpreted so
that marks[i] is the mark attached to the point
(x[i],y[i]). If the mark is a real number then marks
should be a numeric vector, while if the mark takes only a finite
number of possible values (e.g. colours or types) then
marks should be a factor.
See ppp.object for a description of the
class "ppp".
Users would normally invoke ppp to create a point pattern,
but the functions as.ppp and
scanpp may sometimes be convenient.