# nnmark

##### Mark of Nearest Neighbour

Given a marked point pattern dataset `X`

this function computes, for each desired location `y`

,
the mark attached to the nearest neighbour of `y`

in `X`

.
The desired locations `y`

can be either a pixel grid
or the point pattern `X`

itself.

##### Usage

`nnmark(X, …, k = 1, at=c("pixels", "points"))`

##### Arguments

- X
A marked point pattern (object of class

`"ppp"`

).- …
Arguments passed to

`as.mask`

to determine the pixel resolution.- k
Single integer. The

`k`

th nearest data point will be used.- at
String specifying whether to compute the values at a grid of pixel locations (

`at="pixels"`

) or only at the points of`X`

(`at="points"`

).

##### Details

Given a marked point pattern dataset `X`

this function computes, for each desired location `y`

,
the mark attached to the point of `X`

that is nearest
to `y`

. The desired locations `y`

can be either a pixel grid
or the point pattern `X`

itself.

The argument `X`

must be a marked point pattern (object
of class `"ppp"`

, see `ppp.object`

).
The marks are allowed to be a vector or a data frame.

If

`at="points"`

, then for each point in`X`

, the algorithm finds the nearest*other*point in`X`

, and extracts the mark attached to it. The result is a vector or data frame containing the marks of the neighbours of each point.If

`at="pixels"`

(the default), then for each pixel in a rectangular grid, the algorithm finds the nearest point in`X`

, and extracts the mark attached to it. The result is an image or a list of images containing the marks of the neighbours of each pixel. The pixel resolution is controlled by the arguments`…`

passed to`as.mask`

.

If the argument `k`

is given, then the `k`

-th nearest
neighbour will be used.

##### Value

*If X has a single column of marks:*

If

`at="pixels"`

(the default), the result is a pixel image (object of class`"im"`

). The value at each pixel is the mark attached to the nearest point of`X`

.If

`at="points"`

, the result is a vector or factor of length equal to the number of points in`X`

. Entries are the mark values of the nearest neighbours of each point of`X`

.

*If X has a data frame of marks:*

If

`at="pixels"`

(the default), the result is a named list of pixel images (object of class`"im"`

). There is one image for each column of marks. This list also belongs to the class`"solist"`

, for which there is a plot method.If

`at="points"`

, the result is a data frame with one row for each point of`X`

, Entries are the mark values of the nearest neighbours of each point of`X`

.

##### See Also

##### Examples

```
# NOT RUN {
plot(nnmark(ants))
v <- nnmark(ants, at="points")
v[1:10]
plot(nnmark(finpines))
vf <- nnmark(finpines, at="points")
vf[1:5,]
# }
```

*Documentation reproduced from package spatstat, version 1.57-1, License: GPL (>= 2)*