View source: R/geom_conn_bundle.R
geom_conn_bundle | R Documentation |
Hierarchical edge bundling is a technique to introduce some order into the hairball structure that can appear when there's a lot of overplotting and edge crossing in a network plot. The concept requires that the network has an intrinsic hierarchical structure that defines the layout but is not shown. Connections between points (that is, not edges) are then drawn so that they loosely follows the underlying hierarchical structure. This results in a flow-like structure where lines that partly move in the same direction will be bundled together.
geom_conn_bundle(
mapping = NULL,
data = get_con(),
position = "identity",
arrow = NULL,
lineend = "butt",
show.legend = NA,
n = 100,
tension = 0.8,
...
)
geom_conn_bundle2(
mapping = NULL,
data = get_con(),
position = "identity",
arrow = NULL,
lineend = "butt",
show.legend = NA,
n = 100,
tension = 0.8,
...
)
geom_conn_bundle0(
mapping = NULL,
data = get_con(),
position = "identity",
arrow = NULL,
lineend = "butt",
show.legend = NA,
tension = 0.8,
...
)
mapping |
Set of aesthetic mappings created by |
data |
The result of a call to |
position |
Position adjustment, either as a string naming the adjustment
(e.g. |
arrow |
Arrow specification, as created by |
lineend |
Line end style (round, butt, square). |
show.legend |
logical. Should this layer be included in the legends?
|
n |
The number of points to create along the path. |
tension |
How "loose" should the bundles be. 1 will give very tight bundles, while 0 will turn of bundling completely and give straight lines. Defaults to 0.8 |
... |
Other arguments passed on to |
geom_conn_bundle* understands the following aesthetics. Bold aesthetics are automatically set, but can be overwritten.
x
y
group
circular
edge_colour
edge_width
edge_linetype
edge_alpha
filter
The position along the path (not computed for the *0 version)
In order to avoid excessive typing edge aesthetic names are
automatically expanded. Because of this it is not necessary to write
edge_colour
within the aes()
call as colour
will
automatically be renamed appropriately.
Thomas Lin Pedersen
Holten, D. (2006). Hierarchical edge bundles: visualization of adjacency relations in hierarchical data. IEEE Transactions on Visualization and Computer Graphics, 12(5), 741-748. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1109/TVCG.2006.147")}
# Create a graph of the flare class system
library(tidygraph)
flareGraph <- tbl_graph(flare$vertices, flare$edges) %>%
mutate(
class = map_bfs_chr(node_is_root(), .f = function(node, dist, path, ...) {
if (dist <= 1) {
return(shortName[node])
}
path$result[[nrow(path)]]
})
)
importFrom <- match(flare$imports$from, flare$vertices$name)
importTo <- match(flare$imports$to, flare$vertices$name)
# Use class inheritance for layout but plot class imports as bundles
ggraph(flareGraph, 'dendrogram', circular = TRUE) +
geom_conn_bundle(aes(colour = after_stat(index)),
data = get_con(importFrom, importTo),
edge_alpha = 0.25
) +
geom_node_point(aes(filter = leaf, colour = class)) +
scale_edge_colour_distiller('', direction = 1, guide = 'edge_direction') +
coord_fixed() +
ggforce::theme_no_axes()
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