Data Visualization and Analytics
Open access
Peer reviewed
Abstract
Abstract
An interface for rendering 'igraph' objects as 'ggplot2' graphics within a normalized coordinate space. 'RGraphSpace' implements new geometries that treat a graph as a single coherent object, synchronizing node and edge layers under standard aesthetic mappings. Node features are resolved on demand, supporting high-dimensional data without expanding node tables. Spatial alignment is available at the pixel level, with node coordinates anchored to pixel centers through a half-pixel offset, enabling precise node positioning over external reference frames such as images and maps. Core functionality builds on 'igraph', 'ggplot2', and 'tidygraph'; optional geometry and large raster-background images use 'sf' and 'terra' when installed.
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@article{Kessler2026RGraphSpace,
title = {RGraphSpace: Rendering graphs as coherent spatial objects in ggplot2},
author = {Flávio Gabriel Carazza Kessler and Jonathan André Back and Lana Bazan Peters Querne and Victor Henrique Apolonio dos Santos and Mauro A. A. Castro},
journal = {The Journal of Open Source Software},
year = {2026},
doi = {10.21105/joss.11209},
url = {https://doi.org/10.21105/joss.11209}
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