Create a Point Pattern
Creates an object of class
a point pattern dataset in the two-dimensional plane.
ppp(x,y, xrange, yrange, marks) ppp(x,y, window, marks) ppp(x,y, poly, marks) ppp(x,y, mask, marks) ppp(x,y, ..., marks)
- Vector of $x$ coordinates of data points
- Vector of $y$ coordinates of data points
- $x$ coordinate limits of enclosing box
- $y$ coordinate limits of enclosing box
- (optional) vector of mark values
- vertices of polygonal boundary of window
- logical matrix giving binary image of window
- window of observation,
an object of class
- arguments passed to
owinto create the window
"ppp". This function
creates such objects.
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 then
polymust be a list with components
x,ygiving the coordinates of the vertices. If the boundary consists of several disjoint polygons then
polymust be a list of such lists so that
poly[[i]]$xgives the$x$coordinates of the vertices of the$i$th boundary polygon.
maskspecifies a binary pixel image with entries that are
TRUEif the corresponding pixel is inside the window.
windowis an object of class
owin.object) specifying the window.
maskare passed to the window creator function
owinfor interpretation. See
owinfor further details.
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
as.owin, or by just extracting the observation window
of another point pattern, or by manipulating such windows.
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
y, which is interpreted so
marks[i] is the mark attached to the point
(x[i],y[i]). If the mark is a real number then
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
ppp.object for a description of the
Users would normally invoke
ppp to create a point pattern,
but the functions
scanpp may sometimes be convenient.
- An object of class
"ppp"describing a point pattern in the two-dimensional plane (see
ppp(x,y, ..., window, marks)
# some arbitrary coordinates in [0,1] x <- runif(20) y <- runif(20) # the following are equivalent X <- ppp(x, y, c(0,1), c(0,1)) X <- ppp(x, y) X <- ppp(x, y, window=owin(c(0,1),c(0,1))) plot(X) # marks m <- sample(1:2, 20, replace=TRUE) m <- factor(m, levels=1:2) X <- ppp(x, y, c(0,1), c(0,1), marks=m) plot(X) # polygonal window X <- ppp(x, y, poly=list(x=c(0,10,0), y=c(0,0,10))) plot(X) # copy the window from another pattern data(cells) X <- ppp(x, y, window=cells$window)