ip_to_cartesian: Map IP data to Cartesian coordinates

In ggip: Data Visualization for IP Addresses and Networks

Map IP data to Cartesian coordinates

Description

These functions are used internally by coord_ip() to map ip_address and ip_network vectors to Cartesian coordinates. They are exposed externally to support use of these coordinates outside of ggplot2.

Usage

address_to_cartesian(
  address,
  canvas_network = ip_network("0.0.0.0/0"),
  pixel_prefix = 16,
  curve = c("hilbert", "morton")
)

network_to_cartesian(
  network,
  canvas_network = ip_network("0.0.0.0/0"),
  pixel_prefix = 16,
  curve = c("hilbert", "morton")
)

Arguments

address	An ip_address vector
canvas_network	An ip_network scalar that determines the region of IP space visualized by the entire 2D grid. The default shows the entire IPv4 address space.
pixel_prefix	An integer scalar that sets the prefix length of the network represented by a single pixel. The default value is 16. Increasing this effectively improves the resolution of the plot.
curve	A string to choose the space-filling curve. Choices are "hilbert" (default) and "morton".
network	An ip_network vector

Value

A data.frame containing columns:

• address_to_cartesian(): x and y

• network_to_cartesian(): xmin, ymin, xmax and ymax

Examples

address_to_cartesian(ip_address("192.168.0.1"))

network_to_cartesian(ip_network("224.0.0.0/4"))

ggip documentation built on April 4, 2023, 9:07 a.m.