Clustering of German municipalities based on mobility characteristics (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Clustering of German municipalities based on mobility characteristics (Contributo in atti di convegno) (literal)

Anno

• 2008-01-01T00:00:00+01:00 (literal)

Alternative label

• Zanda A.; Koerner C.; Giannotti F.; Schulz D.; May M. (2008)
  Clustering of German municipalities based on mobility characteristics
  in 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Irvine, CA, USA
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Zanda A.; Koerner C.; Giannotti F.; Schulz D.; May M. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: ACM GIS 2008 - 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Irvine, CA, USA, 5-7 novembre 2008). Proceedings, pp. 479 - 482. ACM New York, 2008. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• ABSTRACT: This paper presents a clustering approach which groups German municipalities according to mobility characteristics. As the number of measurements for nationwide mobility studies is usually restricted, this clustering provides a means to infer mobility information for locations without measurements based on values of their respective cluster representatives. Our approach considers local and global information, i.e. characteristics of municipalities as well as relationships between municipalities. We realize previous findings in urban geography by using techniques from graph theory and computer vision. Our clustering consists of a two-step model, which rst extracts and condenses single mobility characteristics and subsequently combines the various features. We apply our model to all German municipalities between 10,000 and 50,000 inhabitants. The clustering has been successfully applied in practice for the inference of traffic frequencies. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Univ. Politécnica de Madrid, Fraunhofer IAIS, CNR-ISTI, Pisa (literal)

Titolo

• Clustering of German municipalities based on mobility characteristics (literal)

Prodotto di

• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• FOSCA GIANNOTTI (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Clustering of German municipalities based on mobility characteristics" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR di

• FOSCA GIANNOTTI (Unità di personale interno)

Insieme di parole chiave di

• Keywords of "Clustering of German municipalities based on mobility characteristics" (Insieme di parole chiave)