spatstat (version 1.41-1)

as.layered: Convert Data To Layered Object

Description

Converts spatial data into a layered object.

Usage

as.layered(X)
 ## S3 method for class 'default':
as.layered(X)
 ## S3 method for class 'ppp':
as.layered(X)
 ## S3 method for class 'splitppp':
as.layered(X)
 ## S3 method for class 'solist':
as.layered(X)
 ## S3 method for class 'listof':
as.layered(X)
 ## S3 method for class 'msr':
as.layered(X)

Arguments

X

Some kind of spatial data.

Value

• An object of class "layered" (see layered).

Details

This function converts the object X into an object of class "layered".

The argument X should contain some kind of spatial data such as a point pattern, window, or pixel image.

If X is a simple object then it will be converted into a layered object containing only one layer which is equivalent to X.

If X can be interpreted as consisting of multiple layers of data, then the result will be a layered object consisting of these separate layers of data.

• ifXis a list of class"listof"or"solist", thenas.layered(X)consists of several layers, one for each entry in the listX;
• ifXis a multitype point pattern, thenas.layered(X)consists of several layers, each containing the sub-pattern consisting of points of one type;
• ifXis a vector-valued measure, thenas.layered(X)consists of several layers, each containing a scalar-valued measure.

See Also

layered, split.ppp

Examples

as.layered(cells)
   as.layered(amacrine)

   P <- rpoispp(100)
   fit <- ppm(P ~ x+y)
   rs <- residuals(fit, type="score")
   as.layered(rs)