# nndist

From spatstat v1.3-4
by Adrian Baddeley

##### Nearest neighbour distances

Computes the distance from each point to its nearest neighbour in a point pattern.

- Keywords
- spatial

##### Usage

`nndist(x, y=NULL, method="C")`

##### Arguments

- x,y
- Arguments specifying the $x$ and $y$ coordinates of
a set of points. Typically
`x`

and`y`

would be numeric vectors of equal length. Alternatively`y`

may be omitted and`x`

may be a point patter - method
- String specifying which method of calculation to use.
Values are
`"C"`

and`"interpreted"`

.

##### Details

This function computes the Euclidean distance from each point in a point pattern to its nearest neighbour (the nearest other point of the pattern).

If `method = "interpreted"`

then the distances are
computed using interpreted R code only. If `method="C"`

then C code is used. The C code is faster by two to three orders of magnitude
and uses much less memory.
If there is only one point (if `x`

has length 1),
then a nearest neighbour distance of `Inf`

is returned.
If there are no points (if `x`

has length zero)
a numeric vector of length zero is returned.

##### Value

- Numeric vector of the nearest neighbour distances for each point.

##### Warnings

An infinite value is returned if there is only one point in the point pattern.

##### See Also

##### Examples

```
x <- runif(100)
y <- runif(100)
d <- nndist(x, y)
data(cells)
d <- nndist(cells)
```

*Documentation reproduced from package spatstat, version 1.3-4, License: GPL version 2 or newer*

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