R: Convert Network Tessellation to Data Frame

as.data.frame.lintess {spatstat.linnet} | R Documentation

## Convert Network Tessellation to Data Frame

### Description

Converts a tessellation on a linear network into a data frame.

### Usage

    ## S3 method for class 'lintess'
    as.data.frame(x, ...)

### Arguments

`x` | Tessellation on a linear network (object of class `"lintess"`).
`...` | Further arguments passed to `as.data.frame.default` to determine the row names and other features.

### Details

A tessellation on a linear network is a partition of the network into non-overlapping pieces (tiles). Each tile consists of one or more line segments which are subsets of the line segments making up the network. A tile can consist of several disjoint pieces.

This function converts the tessellation `x` to a data frame. Each row of the data frame specifies one sub-segment of the network, and allocates it to a particular tile. The data frame has the following columns:

- The `seg` column specifies which line segment of the network contains the sub-segment. Values of `seg` are integer indices for the network segments in `as.psp(as.linnet(x))`.

- The `t0` and `t1` columns specify the start and end points of the sub-segment. They are numeric values between 0 and 1 inclusive, where the values 0 and 1 representing the network vertices that are joined by this network segment.

- The `tile` column specifies which tile of the tessellation includes this sub-segment. It is a factor whose levels are the names of the tiles.

The tessellation may have marks, which are attached to the tiles of the tessellation. If marks are present, the resulting data frame includes columns containing, for each sub-segment, the mark value of the corresponding tile.

### Value

A data frame with columns named `seg`, `t0`, `t1`, `tile`, and possibly other columns.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.

### See Also

`lintess`

### Examples

      X <- lineardirichlet(runiflpp(3, simplenet))
      marks(X) <- letters[1:3]
      as.data.frame(X)

[Package spatstat.linnet version 2.3-1 Index]