Create and Annotate ‘Hilbert Curve’ ‘IPv4’ Heatmaps
A 12th-order ‘Hilbert Curve’ can be used to represent the entire ‘IPv4’ address space with each pixel being one ‘Class C’ (256 nodes). Tools are provided to tranform sets of ‘IPv4’ addresses into ‘Hilbert Curve’ position values and, ultimately, ‘ggplot2’ objects.
Locating a particular IP address along the curve can be confusing at first. Here is what a 2nd-order Hilbert curve looks like:
0---1 14--15
| |
3---2 13--12
| |
4 7---8 11
| | | |
5---6 9---10
The following functions are implemented:
CoordHilbertV4: ggplot2 ‘Coord’ for Hilbert IPv4 heatmapscoord_hilbert_v4: ggplot2 ‘Coord’ for Hilbert IPv4 heatmapshilbertv4: Create and Annotate ‘Hilbert Curve’ ‘IPv4’ HeatmapsStatHilbertV4: ggplot2 ‘Stat’ for Hilbert IPv4 heatmapsstat_hilbert_v4: ggplot2 ‘Stat’ for Hilbert IPv4 heatmapstheme_hilbert_v4: “Map” theme for Hilbert IPv4 maps
devtools::install_github("hrbrmstr/hilbertv4")library(hilbertv4)
library(ggplot2)
# current verison
packageVersion("hilbertv4")## [1] '0.1.0'
ip_df <- readRDS("sample/ips.rds")
ggplot(ip_df, aes(ip=ip)) +
stat_hilbert_v4(bpp=16) +
coord_hilbert_v4(bpp=16) +
viridis::scale_fill_viridis(name="IPv4 count per pixel", trans="log2") +
theme_hilbert_v4()