R: Convert Data To Layered Object

as.layered {spatstat} | R Documentation

## Convert Data To Layered Object

### Description

Converts spatial data into a layered object.

### Usage

     as.layered(X)

     ## Default S3 method:
    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.

### 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.

- if `X` is a list of class `"listof"` or `"solist"`, then `as.layered(X)` consists of several layers, one for each entry in the list `X`;

- if `X` is a multitype point pattern, then `as.layered(X)` consists of several layers, each containing the sub-pattern consisting of points of one type;

- if `X` is a vector-valued measure, then `as.layered(X)` consists of several layers, each containing a scalar-valued measure.

### Value

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

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

Rolf Turner r.turner@auckland.ac.nz

and Ege Rubak rubak@math.aau.dk

### 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)

[Package spatstat version 1.54-0 Index]