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>.
Package details |
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Maintainer | |
License | GPL-3 |
Version | 2.0.0 |
URL | https://github.com/riatelab/flows |
Package repository | View on GitHub |
Installation |
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