flowanalysis {cartograflow} R Documentation

## Computation of a global concentration criterion of flows values or features

### Description

Computation of a global selection criterion for filtering flows values or flow features.
To be use after flowgini and before flowmap.

### Usage

flowanalysis(tab, fij = NULL, critflow, critlink, result)


### Arguments

 tab input flow dataset from flowgini fij flow value between origin and destination places critflow desired level of information significativity. See Details. critlink desired level of features density. See Details. result resulting filtering criterion value. See Details.

### Details

-critflow = desired level of flow's information significativity (e.g. 80 -critlink = desired level of flow's features density (e.g. 20 of the flow features that represents the more significant information.

-result="density" returns the desired level of features density as a -result = "significativity" returns the level of flow significativity as a

### References

Bahoken Françoise, 2016,« La cartographie d’une sélection globale de flux, entre ‘significativité’ et ‘densité’ », Netcom Online, 30-3/4 | 2016, Online since 23 March 2017, connection on 05 May 2019. URL : http://journals.openedition.org/netcom/2565 ; DOI : 10.4000/netcom.2565

### Examples

library(cartograflow)
data(flowdata)

# 1/4: Computes Gini's coefficent
tabgini <- flowgini(ODpts = flows, origin = "i", destination = "j",
valflow = "Fij", lorenz.plot = FALSE)
### [1] Gini's coefficent = 73.16 %

# 2/4: Plot Lorenz curve
flowgini(tabgini,
origin = "i", dest = "j", valflow = "Fij",
lorenz.plot = TRUE
)

# 3/4: Compute critflow filtering parameter
# critflow = 0.8 #selected criterion
flowanalysis(tabgini, critflow = 0.8, result = "signif")
### [1] "threshold =  11238  ---  flows =  80 % ---  links =  22.94 %"



[Package cartograflow version 1.0.5 Index]