generic.spatstat: Methods for weighted, marked planar point patterns (of class...

In dbmss: Distance-Based Measures of Spatial Structures

Methods for weighted, marked planar point patterns (of class wmppp) from spatstat

Description

spatstat methods for a ppp.object applied to a wmppp.object.

Usage

## S3 method for class 'wmppp'
sharpen(X, ...)
## S3 method for class 'wmppp'
split(...)
## S3 method for class 'wmppp'
superimpose(...)
## S3 method for class 'wmppp'
unique(x, ...)
## S3 method for class 'wmppp'
i[j, drop=FALSE, ..., clip=FALSE]

Arguments

X, x	A two-dimensional point pattern. An object of class "wmppp".
...	Arguments passed to the ppp.object method.
i	Subset index. Either a valid subset index in the usual R sense, indicating which points should be retained, or a window (an object of class "owin") delineating a subset of the original observation window, or a pixel image with logical values defining a subset of the original observation window.
j	Redundant. Included for backward compatibility.
drop	Logical value indicating whether to remove unused levels of the marks, if the marks are a factor.
clip	Logical value indicating how to form the window of the resulting point pattern, when i is a window. If clip=FALSE (the default), the result has window equal to i. If clip=TRUE, the resulting window is the intersection between the window of x and the window i.

Details

spatstat methods for ppp objects returning a ppp object can be applied to a wmppp and return a wpppp with these methods which just call the ppp.object method and change the class of the result for convenience.

Some spatstat functions such as rthin are not generic so they always return a ppp.object when applied to a wmppp.object. Their result may be converted by as.wmppp.

Value

An object of class "wmppp".

See Also

sharpen.ppp, split.ppp, superimpose.ppp, unique.ppp

dbmss documentation built on Sept. 11, 2024, 9:19 p.m.