flows: Flow Matrix Selection with Statistics and Visualisation
The analysis and representation of flows often presuppose a selection
to facilitate interpretation. Various methods have been proposed for selecting
flows, one of the most widely used being based on major flows: it selects only
the most important flows, absolute or relative, on a local or global scale.
These methods often highlight hierarchies between locations, but the loss of
information caused by selection is rarely taken into account. We
propose statistical indicators to assess the loss of information
and the characteristics of selected flows. We provide functions that select
flows (main, dominant or major flows), provide statistics on selections and
offer visualizations in the form of maps and graphs.
See Beauguitte et al. (2015) <doi:10.4000/netcom.2134> for more details.
| Version: |
2.0.0 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
igraph, graphics, mapsf, maplegend, utils, stats |
| Suggests: |
sf, knitr, rmarkdown |
| Published: |
2026-11-13 |
| DOI: |
10.32614/CRAN.package.flows |
| Author: |
Timothée Giraud 
[cre, aut],
Laurent Beauguitte
[aut],
Marianne Guérois
[aut] |
| Maintainer: |
Timothée Giraud <timothee.giraud at cnrs.fr> |
| BugReports: |
https://codeberg.org/riatelab/flows/issues |
| License: |
GPL-3 |
| URL: |
https://codeberg.org/riatelab/flows |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
flows results |
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