getLeastSelfContained: getLeastSelfContained

In LabourMarketAreas: Identification, Tuning, Visualisation and Analysis of Labour Market Areas

getLeastSelfContained

Description

This function determines the validity for all clusters as well as the minimum value i.e. the value for which the "X-equation" is minimal (see [1] and [2]). This minimum corresponds to the selected cluster to be dissolved. If more than one cluster share the same minimum value the first will be chosen.

Usage

getLeastSelfContained(LWClus, marginals, minSZ, minSC, tarSZ, tarSC)

Arguments

LWClus	data table containing the flows between the clusters.
marginals	data table containing the structural characteristics of the clusters.
minSZ	numeric, parameter indicating the minimum size of the cluster in order to be an acceptable LMA.
minSC	numeric, parameter indicating the minimum self containment of the cluster in order to be an acceptable LMA.
tarSZ	numeric, parameter indicating the target size of the clusters.
tarSC	numeric, parameter indicating the target self containment of the clusters.

Value

A list of two components:

minivalout	data.table containing the identifier of cluster attaining the minimum validity and its corresponding value.
LWSelf	data.table containing the validity computations for each cluster.

Note

This function is called and used internally by the main function findClusters.

Author(s)

Daniela Ichim, Luisa Franconi, Michele D'Alo', Guido van den Heuvel

References

[1] Coombes, M. e Bond, S. (2008). Travel-to-Work Areas: the 2007 review. London: Office for National Statistics, 2008.

[2] Franconi, L., D'Alo' M. and Ichim, D. (2016). Istat implementation of the algorithm to develop Labour Market Areas.

See Also

findClusters

LabourMarketAreas documentation built on Oct. 10, 2023, 5:07 p.m.