Learn R Programming

spatstat (version 1.31-3)

scalardilate: Apply Scalar Dilation

Description

Applie scalar dilation to a plane geometrical object, such as a point pattern or a window, relative to a specified origin.

Usage

scalardilate(X, f, ...)

## S3 method for class 'im': scalardilate(X, f, \dots, origin=NULL)

## S3 method for class 'owin': scalardilate(X, f, \dots, origin=NULL)

## S3 method for class 'ppp': scalardilate(X, f, \dots, origin=NULL)

## S3 method for class 'psp': scalardilate(X, f, \dots, origin=NULL)

## S3 method for class 'default': scalardilate(X, f, \dots)

Arguments

X
Any suitable dataset representing a two-dimensional object, such as a point pattern (object of class "ppp"), a window (object of class "owin"), a pixel image (class "im") and so on.
f
Scalar dilation factor. A finite number greater than zero.
...
Ignored by the methods.
origin
Origin for the scalar dilation. Either a vector of 2 numbers, or one of the character strings "centroid", "midpoint" or "bottomleft" (partially matched).

Value

  • Another object of the same type, representing the result of applying the scalar dilation.

Details

This command performs scalar dilation of the object X by the factor f relative to the origin specified by origin.

The function scalardilate is generic, with methods for windows (class "owin"), point patterns (class "ppp"), pixel images (class "im"), line segment patterns (class "psp") and a default method.

If the argument origin is not given, then every spatial coordinate is multiplied by the factor f.

If origin is given, then scalar dilation is performed relative to the specified origin. Effectively, X is shifted so that origin is moved to c(0,0), then scalar dilation is performed, then the result is shifted so that c(0,0) is moved to origin.

This command is a special case of an affine transformation: see affine.

See Also

affine, shift

Examples

Run this code
plot(letterR)
plot(scalardilate(letterR, 0.7, origin="bot"), col="red", add=TRUE)

Run the code above in your browser using DataLab