density.splitppp

From spatstat v1.42-2 by Adrian Baddeley

Kernel Smoothed Intensity of Split Point Pattern

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.

Keywords: methods, smooth, spatial

Usage

## S3 method for class 'splitppp':
density(x, \dots, se=FALSE)
  ## S3 method for class 'ppplist':
density(x, \dots, se=FALSE)

Arguments

x: Split point pattern (object of class "splitppp" created by split.ppp) to be smoothed. Alternatively a list of point patterns, of class "ppplist".
...: Arguments passed to density.ppp to control the smoothing, pixel resolution, edge correction etc.
se: Logical value indicating whether to compute standard errors as well.

Details

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.

Value

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.

Examples

Z <- density(split(amacrine), 0.05)
  plot(Z)

Documentation reproduced from package spatstat, version 1.42-2, License: GPL (>= 2)

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