sgbp: Methods for dealing with sparse geometry binary predicate...

In sf: Simple Features for R

Methods for dealing with sparse geometry binary predicate lists

Description

Methods for dealing with sparse geometry binary predicate lists

Usage

## S3 method for class 'sgbp'
print(x, ..., n = 10, max_nb = 10)

## S3 method for class 'sgbp'
t(x)

## S3 method for class 'sgbp'
as.matrix(x, ...)

## S3 method for class 'sgbp'
dim(x)

## S3 method for class 'sgbp'
Ops(e1, e2)

## S3 method for class 'sgbp'
as.data.frame(x, ...)

Arguments

x	object of class sgbp
...	ignored
n	integer; maximum number of items to print
max_nb	integer; maximum number of neighbours to print for each item
e1	object of class sgbp
e2	object of class sgbp

Details

sgbp are sparse matrices, stored as a list with integer vectors holding the ordered TRUE indices of each row. This means that for a dense, m \times n matrix Q and a list L, if Q[i,j] is TRUE then j is an element of L[[i]]. Reversed: when k is the value of L[[i]][j], then Q[i,k] is TRUE.

== compares only the dimension and index values, not the attributes of two sgbp object; use identical to check for equality of everything.

sf documentation built on June 8, 2025, 10:18 a.m.