# smooth.msr

From spatstat v1.29-0
by Adrian Baddeley

##### Smooth a Signed or Vector-Valued Measure

Apply kernel smoothing to a signed measure or vector-valued measure.

##### Usage

`smooth.msr(X, ...)`

##### Arguments

- X
- Object of class
`"msr"`

representing a signed measure or vector-valued measure. - ...
- Arguments passed to
`density.ppp`

controlling the smoothing bandwidth and the pixel resolution.

##### Details

This function applies kernel smoothing to a signed measure or
vector-valued measure `X`

. The Gaussian kernel is used.

The object `X`

would typically have been created by
`residuals.ppm`

or `msr`

.

##### Value

- For signed measures, a pixel image (object of class
`"im"`

). For vector-valued measures, a list of pixel images; the list also belongs to the class`"listof"`

so that it can be printed and plotted.

##### References

Baddeley, A., Turner, R., Moller, J. and Hazelton, M. (2005)
Residual analysis for spatial point processes.
*Journal of the Royal Statistical Society, Series B*
**67**, 617--666.

Baddeley, A., Moller, J. and Pakes, A.G. (2008)
Properties of residuals for spatial point processes.
*Annals of the Institute of Statistical Mathematics*
**60**, 627--649.

##### See Also

##### Examples

```
example(msr)
plot(smooth.msr(rp))
plot(smooth.msr(rs))
```

*Documentation reproduced from package spatstat, version 1.29-0, License: GPL (>= 2)*

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