Description Usage Arguments Details Value Author(s) See Also Examples

Compute a kernel smoothed intensity function for each of the components of a split point pattern, or each of the point patterns in a list.

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`x` |
Split point pattern (object of class |

`...` |
Arguments passed to |

`se` |
Logical value indicating whether to compute standard errors as well. |

This is a method for the generic function `density`

.

The argument `x`

should be a list of point patterns,
and should belong to one of the classes
`"ppplist"`

or `"splitppp"`

.

Typically `x`

is obtained by applying
the function `split.ppp`

to a point pattern `y`

by calling `split(y)`

. This splits the points of `y`

into several
sub-patterns.

A kernel estimate of the intensity function of each of the
point patterns is computed using `density.ppp`

.

The return value is usually a list, each of whose entries is a
pixel image (object of class `"im"`

). The return value
also belongs to the class `"solist"`

and can be plotted
or printed.

If the argument `at="points"`

is given, the result is a list
of numeric vectors giving the intensity values at the data points.

If `se=TRUE`

, the result is a list with two elements named
`estimate`

and `SE`

, each of the format described above.

A list of pixel images (objects of class `"im"`

)
which can be plotted or printed;
or a list of numeric vectors giving the values at specified points.

If `se=TRUE`

, the result is a list with two elements named
`estimate`

and `SE`

, each of the format described above.

and \rolf

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