Description Usage Arguments Details Value Algorithms and accuracy Author(s) See Also Examples

Given a pattern of points on a linear network, compute the matrix of distances between all pairs of points, measuring distance by the shortest path in the network.

1 2 | ```
## S3 method for class 'lpp'
pairdist(X, ..., method="C")
``` |

`X` |
Point pattern on linear network (object of class |

`method` |
Optional string determining the method of calculation.
Either |

`...` |
Ignored. |

Given a pattern of points on a linear network, this function computes the matrix of distances between all pairs of points, measuring distance by the shortest path in the network.

If two points cannot be joined by a path,
the distance between them is infinite (`Inf`

).

The argument `method`

is not normally used. It is
retained only for developers to check the validity of the software.

A symmetric matrix, whose values are nonnegative numbers or infinity
(`Inf`

).

Distances are accurate within the numerical tolerance of the
network, `summary(X)$toler`

.

For network data stored in the non-sparse
representation described in `linnet`

,
then pairwise distances are computed using the matrix of path distances
between vertices of the network, using **R** code if
`method = "interpreted"`

, or using C code if
`method="C"`

(the default).

For networks stored in the sparse representation,
the argument `method`

has no effect, and the distances are
computed using an efficient C algorithm.

Ang Qi Wei aqw07398@hotmail.com and \adrian.

1 2 3 | ```
X <- runiflpp(12, simplenet)
d <- pairdist(X)
d[1:3, 1:3]
``` |

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