Applies any affine transformation of the plane (linear transformation
 plus vector shift) to a plane geometrical object,
 such as a point pattern or a window.

affine

Defines spatial data types and supports geometrical operations
on them. Data types include point patterns, windows (domains),
pixel images, line segment patterns, tessellations and hyperframes.
Capabilities include creation and manipulation of data
(using command line or graphical interaction),
plotting, geometrical operations (rotation, shift, rescale,
affine transformation), convex hull, discretisation and
pixellation, Dirichlet tessellation, Delaunay triangulation,
pairwise distances, nearest-neighbour distances,
distance transform, morphological operations
(erosion, dilation, closing, opening), quadrat counting,
geometrical measurement, geometrical covariance,
colour maps, calculus on spatial domains,
Gaussian blur, level sets of images, transects of images,
intersections between objects, minimum distance matching.
(Excludes spatial data on a network, which are supported by
the package 'spatstat.linnet'.)

Adrian Baddeley

spatstat.geom

Geometrical Functionality of the 'spatstat' Family

Rolf Turner

Ege Rubak

Warick Brown

Tilman Davies

Ute Hahn

Martin Hazelton

Abdollah Jalilian

Greg McSwiggan

Sebastian Meyer

Jens Oehlschlaegel

Suman Rakshit

Dominic Schuhmacher

Rasmus Waagepetersen

affine function

Apply Affine Transformation — affine

<dl>

 <dt>X</dt>
<dd>Any suitable dataset representing a two-dimensional
 object, such as a point pattern (object of class <code>"ppp"</code>),
 a line segment pattern (object of class <code>"psp"</code>),
 a window (object of class <code>"owin"</code>) or a pixel image
 (object of class <code>"im"</code>).</dd>

 <dt>...</dt>
<dd>Arguments determining the affine transformation.</dd>

</dl>

Arguments

Adrian Baddeley <a href='mailto:Adrian.Baddeley@curtin.edu.au'>Adrian.Baddeley@curtin.edu.au</a> 
 
and Rolf Turner <a href='mailto:rolfturner@posteo.net'>rolfturner@posteo.net</a>

Author

Apply Affine Transformation

affine: Apply Affine Transformation

Description

Usage

Arguments

Value

Details

See Also