edge_bundle_hammer: hammer edge bundling

In schochastics/edgebundle: Algorithms for Bundling Edges in Networks and Visualizing Flow and Metro Maps

hammer edge bundling

Description

Implements the hammer edge bundling by Ian Calvert.

Usage

edge_bundle_hammer(object, xy, bw = 0.05, decay = 0.7)

Arguments

object	a graph object (igraph/network/tbl_graph)
xy	coordinates of vertices
bw	bandwidth parameter
decay	decay parameter

Details

This function only wraps existing python code from the datashader library. Original code can be found at https://gitlab.com/ianjcalvert/edgehammer. Datashader is a huge library with a lot of dependencies, so think twice if you want to install it just for edge bundling. Check https://datashader.org/user_guide/Networks.html for help concerning parameters bw and decay. To install all dependencies, use install_bundle_py.

see online for plotting tips

Value

data.frame containing the bundled edges

Author(s)

David Schoch

See Also

edge_bundle_force,edge_bundle_stub, edge_bundle_path

schochastics/edgebundle documentation built on Sept. 25, 2024, 8:44 p.m.