Recently, the Italian Statistical Agency Istat faced the problem of defining the new SLL (Local labour Systems) considering the data on commuting flows between municipalities collected in the last Italian Census (2011) by using a nonhierarchical agglomerative clustering procedure. We propose instead a model based clustering technique that directly accounts for network relations between municipalities and their position in geographical space. The model is based on latent and manifest geographical coordinates, a gaussian mixture distribution for the coordinates is considered and allows us to obtain a clustering of the municipalities based on the flows (having discounted for the population sizes). The model is estimated on commuting flows between municipalities in Friuli-Venezia Giulia region using the Bayesian approach. Results are compared with those recently presented by Istat.

A model for clustering a spatial network with application to local labour system identification

PAULI, FRANCESCO;TORELLI, Nicola;ZACCARIN, SUSANNA
2015-01-01

Abstract

Recently, the Italian Statistical Agency Istat faced the problem of defining the new SLL (Local labour Systems) considering the data on commuting flows between municipalities collected in the last Italian Census (2011) by using a nonhierarchical agglomerative clustering procedure. We propose instead a model based clustering technique that directly accounts for network relations between municipalities and their position in geographical space. The model is based on latent and manifest geographical coordinates, a gaussian mixture distribution for the coordinates is considered and allows us to obtain a clustering of the municipalities based on the flows (having discounted for the population sizes). The model is estimated on commuting flows between municipalities in Friuli-Venezia Giulia region using the Bayesian approach. Results are compared with those recently presented by Istat.
File in questo prodotto:
File Dimensione Formato  
Torelli_A MODEL FOR CLUSTERING A SPATIAL NETWORK.pdf

Accesso chiuso

Tipologia: Documento in Versione Editoriale
Licenza: Digital Rights Management non definito
Dimensione 1.42 MB
Formato Adobe PDF
1.42 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2849416
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact