# plot.mppm

From spatstat v1.36-0
by Adrian Baddeley

##### plot a Fitted Multiple Point Process Model

Given a point process model fitted to multiple point patterns
by `mppm`

,
compute spatial trend or conditional intensity surface of the model,
in a form suitable for plotting, and (optionally) plot this
surface.

##### Usage

```
## S3 method for class 'mppm':
plot(x, ..., trend = TRUE, cif = FALSE,
how="image")
```

##### Arguments

- x
- A point process model fitted to multiple point patterns,
typically obtained from
the model-fitting algorithm
`mppm`

. An object of class`"mppm"`

. - ...
- Arguments passed to
`plot.ppm`

or`plot.listof`

controlling the plot. - trend
- logical flag; if
`TRUE`

, the spatial trend surface will be produced. - cif
- logical flag; if
`TRUE`

, the conditional intensity surface will be produced. - how
- character string vector indicating the style of plot to be performed.

##### Details

This is the `plot`

method for the class `"mppm"`

of point process models fitted to multiple point patterns
(see `mppm`

).

It invokes `subfits`

to compute the fitted model for
each individual point pattern dataset, then calls
`plot.ppm`

to plot these individual models. These
individual plots are displayed using `plot.listof`

,
which generates either a series of separate plot frames or an
array of plot panels on a single page.

##### Value

`NULL`

.

##### See Also

*Documentation reproduced from package spatstat, version 1.36-0, License: GPL (>= 2)*

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