as.lpp | R Documentation |
Convert various kinds of data to a point pattern on a linear network.
as.lpp(x=NULL, y=NULL, seg=NULL, tp=NULL, ..., marks=NULL, L=NULL, check=FALSE, sparse)
x,y |
Vectors of cartesian coordinates, or any data
acceptable to |
seg,tp |
Optional local coordinates. Vectors of the same length
as |
... |
Ignored. |
marks |
Optional marks for the point pattern. A vector or factor with one entry for each point, or a data frame or hyperframe with one row for each point. |
L |
Linear network (object of class |
check |
Logical. Whether to check the validity of the spatial coordinates. |
sparse |
Optional logical value indicating whether to store the
linear network data in a sparse matrix representation or not.
See |
This function converts data in various formats into a point pattern
on a linear network (object of class "lpp"
).
The possible formats are:
x
is already a point pattern on a linear network
(object of class "lpp"
).
Then x
is returned unchanged.
x
is a planar point pattern (object of class "ppp"
).
Then x
is converted to a point pattern on the linear network
L
using lpp
.
x,y,seg,tp
are vectors of equal length.
These specify that the i
th point has Cartesian coordinates
(x[i],y[i])
, and lies on segment number seg[i]
of the
network L
, at a fractional position tp[i]
along that
segment (with tp=0
representing one endpoint and
tp=1
the other endpoint of the segment).
x,y
are missing and seg,tp
are vectors of equal length
as described above.
seg,tp
are NULL
, and x,y
are data in a format
acceptable to xy.coords
specifying the
Cartesian coordinates.
Only the arguments x
and L
are given,
and x
is a data frame with one of the following types:
two columns labelled seg,tp
interpreted as local
coordinates on the network.
two columns labelled x,y
interpreted as Cartesian
coordinates.
four columns labelled x,y,seg,tp
interpreted as Cartesian coordinates and local coordinates.
A point pattern
on a linear network (object of class "lpp"
).
and \rolf
lpp
.
A <- as.psp(simplenet) X <- runifpointOnLines(10, A) is.ppp(X) Y <- as.lpp(X, L=simplenet)
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